module 6 and feedback
Running head; CYBERSECURITY 1
CYBERSECURITY 6
Cybersecurity
Student Name
Institution Affiliation
Cybersecurity
Article 1
Retrieved From: Humayun, M., Niazi, M., Jhanjhi, N. et al. Cyber Security Threats and Vulnerabilities: A Systematic Mapping Study. Arab J Sci Eng 45, 3171–3189 (2020). https://doi.org/10.1007/s13369-019-04319-2
The research article primary objective is to identify and analyze the common cybersecurity vulnerabilities and after learning the flaws is where prevention and mitigation strategies are implemented. The researcher was targeting to compare different research conducted on the cyber crimes that occurs and compare their mitigation and prevention strategies and what emerged best is malware, denial-of-service attack and phishing. The research question of focus is ‘what are the possible vulnerabilities that affect cyber applications’? The method used to collect the data is systematic mapping that played role in collecting and analyzing secondary information. The data was analyzed through statistical approach. According to the findings and conclusion the confidence level is 0.95.
Article 2
Retrieved From: Salloum S.A., Alshurideh M., Elnagar A., Shaalan K. (2020) Machine Learning and Deep Learning Techniques for Cybersecurity: A Review. In: Hassanien AE., Azar A., Gaber T., Oliva D., Tolba F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_5
The research focuses on understanding the performance of machine learning in offering cybersecurity to systems, networks and databases. The variables that are there in the research is the comparison between deep learning and machine learning. The research question targeted ‘what are the cyber threats targeting the network systems identified by deep learning and machine learning’? Observation is the data collection technique o check how the intrusion occurs. The data is analyzed statistically after collecting the observed and recorded data to understand the level of intrusion in place to develop strategies to prevent and mitigate attacks. The confidence limit for the research based on the findings and conclusion is 0.90.
Article 3
Retrieved From: Zhuang, P., Zamir, T., & Liang, H. (2021). Blockchain for Cybersecurity in Smart Grid: A Comprehensive Survey. IEEE Transactions On Industrial Informatics, 17(1), 3-19. https://doi.org/10.1109/tii.2020.2998479
The article is about provision of helpful about the benefits of blockchain technology as an approach to solve cybersecurity challenges in future. The variable of the study is the difference between the cybersecurity of smart grid without blockchain ledger technology and the one that implemented the blockchain to ascertain the effectiveness of blockchain against cyber threats. The research question for the study is ‘what is the effectiveness of blockchain technology in smart grid against cyber threats’? Observation of a smart grid sample observing the changes provides the data that is later analyzed statistically. A confidence level of 0.85 is achieved in the study based on the findings. The article shows the need and guidance for future research efforts adding a concept to the research question.
Article 4
Retrieved From: Gunduz, M., & Das, R. (2020). Cyber-security on smart grid: Threats and potential solutions. Computer Networks, 169, 107094. https://doi.org/10.1016/j.comnet.2019.107094
The research article is about bringing deep understanding about the cybersecurity vulnerabilities. The research involves the approach where the potential threats in the Internet of Things is smart grid are identified. The research questions being tested ‘What are the vulnerabilities of the IoT smart grid and the potential cyber threats’? The method used in this research is the comprehensive survey that is supported by the wide view of the previous work. The data is then analyzed using the statistical approach. The findings in the data indicated a need for further research since there are vulnerabilities present and more analysis should be conducted to ascertain each specific threat and their solution. The confidence limit for the research is 0.88.
Article 5
Retrieved From: Annarelli, A., Nonino, F., & Palombi, G. (2020). Understanding the management of cyber resilient systems. Computers & Industrial Engineering, 149, 106829. https://doi.org/10.1016/j.cie.2020.106829
The research focuses on understanding the weaknesses organizations systems and the outcome of implementing cyber resilient systems as a way to offer cybersecurity. The variable in question in the research is about introducing s cyber resilient system in comparison to the common systems. The research study is quantitative where samples were collected from six companies and the data is collected through focus groups and survey methods. The hypothesis for the study is ‘what is the impact of implementing the cyber resilient system as a cybersecurity mechanism’? The statistical method is employed in analyzing the collected data to draw conclusions. The findings and conclusion has indicated about 0.85 confidences. Managerial actions are expected to improve in future.
Article 6
Retrieved From: Kabir, U., Ezekekwu, E., Bhuyan, S., Mahmood, A., & Dobalian, A. (2020). Trends and best practices in health care cybersecurity insurance policy. Journal Of Healthcare Risk Management, 40(2), 10-14. https://doi.org/10.1002/jhrm.21414
The article discusses about major cyber attacks that target healthcare institutions based on the importance of the data they handle. The variables are the introduction of the cybersecurity insurance in healthcare and the impact it has on the challenges offered by cyber threats. The research question’ what impact does cybersecurity insurance have on healthcare organization’? The statistical method is used in analyzing data that is collected through survey method. The findings and conclusion of the study has shown 0.88 confidences. The article has provided direction about expected future research that is expected to empower cybersecurity in the healthcare sector making sure privacy and confidentiality is protected.
Bibliography
Annarelli, A., Nonino, F., & Palombi, G. (2020). Understanding the management of cyber resilient systems. Computers & Industrial Engineering, 149, 106829. https://doi.org/10.1016/j.cie.2020.106829
Gunduz, M., & Das, R. (2020). Cyber-security on smart grid: Threats and potential solutions. Computer Networks, 169, 107094. https://doi.org/10.1016/j.comnet.2019.107094
Humayun, M., Niazi, M., Jhanjhi, N. et al. Cyber Security Threats and Vulnerabilities: A Systematic Mapping Study. Arab J Sci Eng 45, 3171–3189 (2020). https://doi.org/10.1007/s13369-019-04319-2
Kabir, U., Ezekekwu, E., Bhuyan, S., Mahmood, A., & Dobalian, A. (2020). Trends and best practices in health care cybersecurity insurance policy. Journal Of Healthcare Risk Management, 40(2), 10-14. https://doi.org/10.1002/jhrm.21414
Salloum S.A., Alshurideh M., Elnagar A., Shaalan K. (2020) Machine Learning and Deep Learning Techniques for Cybersecurity: A Review. In: Hassanien AE., Azar A., Gaber T., Oliva D., Tolba F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_5
Zhuang, P., Zamir, T., & Liang, H. (2021). Blockchain for Cybersecurity in Smart Grid: A Comprehensive Survey. IEEE Transactions On Industrial Informatics, 17(1), 3-19. https://doi.org/10.1109/tii.2020.2998479
Running head; CYBERSECURITY
1
Cybersecurity
Student Name
Institution Affiliation
Running head; CYBERSECURITY 1
Cybersecurity
Student Name
Institution Affiliation