THE IMPORTANCE OF DATA PRIVACY IN THE DIGITAL AGE OF
INDUSTRY 4.0
Introduction
In layman's terms, the industrial digital era 4.0 is a state where everything is
maximized by sophisticated technology. It is said that the digital era of industry 4.0 was
born to replace or renew previous technology to become more modern and comfortable and
easier. In the digital era of industry 4.0, it brings many positive influences and impacts so
that it can be utilized as much as possible. Apart from all the positive impacts and influences
there are also negative influences and impacts for users that are detrimental.
The Digital Age Industry 4.0 is the term used to describe the fourth industrial
revolution, identified by greater interconnection between people, machines, and the
environment. With the birth of artificial intelligence which is a new technology, the amount
and variety of data generated increases exponentially. The introduction of Industry 4.0
technologies has a significant impact on the economy, environment, and human health
(Hassoun et al., 2023; Iskandar and Kaltum). Despite the importance of each of the
technologies described above, new and sustainable solutions can be obtained through
combining several advanced technologies (Araque González et al., 2022; Hassoun et al.,
2023).
In the increasingly advanced digital era of Industry 4.0, paradigm shifts in the
collection, processing, and exchange of information have raised serious challenges related to
individual data privacy. This phenomenon is no exception in Indonesia, a developing
country with an increasingly high internet penetration rate and rapid growth in the use of
information technology. In this context, where the digital ecosystem is increasingly
complex, the protection of data privacy is becoming increasingly important to maintain
security and trust.
Methods
This research uses qualitative methods. The purpose of this article is to analyze the
assumptions contained in literature research. In the field of literature, research reports are
written based on historical or scientific literature in national and international formats. All
relevant articles come from reputable journals such as Electronic Information, Google
Scholar, Emerald and IEE. This paper uses an appropriate methodological approach, namely
a qualitative approach, namely a qualitative approach. It is used sparingly so as not to raise
doubts. The reason for using a qualitative approach is exploratory. In addition, a
comprehensive study of relevant and professional literature was also conducted, including
past results and observations to serve as future references, to ensure the validity of current
concepts and further develop current theories.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
v Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
Results And Discussion
Data Privacy can be said that data should be used or utilized for its intended purpose.
Data Privacy is the primacy of individuals to have control over how data is collected & how
it will be used. Data privacy or information protection is a branch of data security that
properly manages data with consent, notification. a large amount of data to train & test, the
more often the data is trained, the more accurate the performance. So when the data used is
large, it is difficult to distinguish which data can be made public & which data is private.
After going through many stages of analysis, it is likely that someone / a certain party will
misuse the personal / private data. The importance of Data Privacy in the digital era 4.0:
Protection of individual rights: According to the Minister of Communication and
Information Technology Regulation (Permendikominfo) and Perppu No. 20 of 2021
(Government Regulation in Lieu of Law) (Perppu) on Personal Data Protection.
Personal data reflects sensitive information that can identify individuals, protecting
this data contributes to respecting the privacy rights of others. Nonetheless, the
successful implementation and effectiveness of these provisions still require further
monitoring, especially in response to rapid technological change.
Public Trust: An organization that takes good care of personal data will gain more
trust from consumers and business partners, which is important for building long-
term relationships and a good reputation.
National Security; Leaked personal data can be used for potentially harmful
purposes, including cybercrime and threats to national security.
Solutions to overcome the challenges of data privacy protection in the digital era of
industry 4.0
That is:
1. Strong laws. Strong regulations are essential for managing data privacy. It is the
government's duty to enforce laws that restrict or limit the use, collection and
disclosure of personal data. One example is the EU General Data Protection
Regulation which includes privacy protection by providing full access to personal
data. (European Union Agency for Fundamental Rights. 2019).
Awareness Raising and Education, It is necessary to raise awareness and provide
education on the importance of data privacy protection. It is very important that
individuals understand all the consequences and risks of disclosing personal data
information. In this case, especially the government, schools, and organizations must
play a role in providing training to raise awareness of the importance of increasing
data privacy in the general public. (Solove, D. J. 2008).
Privacy by design by default, A community must implement "privacy by design"
where appropriate, when developing services and products. This means that data
protection should be taken into account and integrated from the very beginning of the
development process, not just a future initiative.
(World Economic Forum.2019)
Improving Data Security, A concrete step in protecting data privacy is to strengthen
data security. Where an organization must implement measures to protect privacy
data from illegal networks.
The use of encryption, the circumstances in which this is to ensure the use of secure
and correct passwords, active monitoring of online threats, and increased online
security (Yang, C., Fang, W., & Wen, C. 2018).
An approach that ensures the protection of Data Privacy:
Cryptographic Approach
There are basically three types of cryptographic approach techniques to achieve privacy
• Access control
This approach defines who enters the database and how and why someone needs the
data.
• Data Anonymization
This approach is used to change information and propagate the ID of the person or
data.
• Secure Multiparty Computation
Perturbation Approach
This approach consists of a mathematical approach to finding an approximate result
for a particular problem, by starting from the exact solution of a relatively easy problem of
the same category. Perturbation approaches are used in differential privacy strategies.
Perturbation approaches can be divided into two categories:
• Differential Privacy (DP)
Differential Privacy is a framework for freely sharing data from a dataset by
delineating instances of collection within the dataset while keeping individual data
within the dataset.
• Local Differential Privacy
Local differential privacy is a subset of differential privacy with some additional
restrictions. If someone is somehow able to access someone's personal data, still that
someone will not be able to get the full information of that individual.
Conclusion
The digital age of Industry 4.0 is about greater interconnection between people,
machines, and the environment. With the emergence of artificial intelligence which is a new
technology, the amount and variety of data generated increases exponentially. Where
privacy data i s crucial or must be considered, because it is likely that someone / certain
parties will misuse it for negative interests. So that the solution that can be made a reference
is to carry out strong regulations, increase awareness and education, use encryption and
increase more security. In addition, there are several approaches that guarantee the
confidentiality of privacy data, namely the chitography approach and the parturbation
approach.
