Final Research Paper on Internet of Things
INTERNET OF THINGS (IOT)
INTERNET OF THINGS (IoT)
INTERNET OF THINGS (IoT)
Kartheek Devarapalli
Current and Emerging Technologies
Prof. Edward Lindoo
Abstract
The Internet of Things is a term that refers to a series of interconnected communication systems or repositories that are all linked via the internet. The Internet of Things has been primarily helped in the real world by the introduction of various web accessing devices such as cell phones and other hardware that have already been in high demand, implying that more and more people are adjusting to the virtual environment. As a result, the vast number of web users has been utilized to provide better services, such as service automation and overall industrial automation, which has resulted in increased comfort and quality. Various scientific studies have been undertaken in an attempt to address the problems that have arisen as a result of the IoT. Some of the problems are linked to the security risk that the Internet of Things presents to users. This research paper explores the security risks raised by IoT features. Current solutions and problems were also addressed in order to gain a clearer understanding of the definition of Challenges presented by increased use of IoT features.
.
Keywords: Interconnected, Automation, Risk, Challenges
Table of Contents
Abstract …………………………………………………………………………………………...3
Chapters…………………………………………………………………………………………...6
1. Introduction …………………………………………………………………………………..6
· Statement of the Problem …………………. ……………………………………………..7
· Relevance and Significance ………………………………………………………………7
· Research Questions ……………………………………………………………………… 7
2. Factors that effect IoT…..…………………………………………………………………….8
3. Approach and Methodology……………………...…………………………………………..9
4. Findings, Analysis and Summary……………………...…………………..………………..10
5. Recommendation……………………………………………………………………………11
References………………………………………………………………………………………..12
Chapter-1
Introduction
The advancement of complex technology in relation to the Internet of Things (IoT) and IoT applications, such as hydrogen economy and sustainable grid, has brought with it its own set of challenges, namely cyberwarfare, which have been on the rise. Because of the complex trends, data breaches have had to adapt to the ever-changing world that surrounds the Internet of Things, posing a greater threat to democracy as a result of its increased use and use. IoT technologies have extended their power to priority markets such as manufacturing and the defense, whose breach could cause a severe threat to national security because the same technology could be used to target a nation that uses IoT functionality in combatHowever, it is clear that the majority of individuals and companies are unaware of how well their user privacy concerns have been handled, leaving a gap for attackers who use it as a conduit to hack networks and impede those parties' safety and confidentiality. However, the increased competition for IoT features has also forced manufacturers to put a greater emphasis on product development rather than security features, such as in cellphones. As a result of the insufficient security measures taken, the use of these items has often resulted in certain vulnerabilities.
Over the last few years, there has been a rise in the use of the Internet of Things in the provision of healthcare services, leading to the creation of the Medical Internet of Things, which identifies a collection of devices that are linked to the internet to support the medical system. However, increased use has resulted in the disclosure of sensitive patient information, such as Chest radiography data, to cyberwarfare, which could occur against the patients' wishes. This is due to the fact that the MIoT structure is typically made up of three layers: the cognition layer, the network layer, and the application layer.
Statement of the problem to be investigated
The aim of the research is to determine the myriad impact of excess MIoT use, as well as the risk that MIoT poses to patients' use. By discussing alternate ways to use MIoT, the paper will provide some solutions to the issue. The study's aim would be to educate people of the confidentiality problems associated with the use of MIoT in health care.
Relevance and Significance
The rising popularity of MIoT has been intensified by evidence that it can improve the condition and safety of a large number of people all over the world, putting additional pressure on data protection and privacy protection. This has resulted in dramatic adjustments, with many businesses and other business processes rapidly adapting to the use of IoT device-based services in the delivery of their services. This has resulted in a variety of gaps in the way information is shared, ranging from manual to standardized and integrated processes.
Research Questions
· What are the privacy issues with the use of IoT in the healthcare ?
· What is the extent of patient and consumer knowledge about different data security issues?
· What can be done better to answer the MIoT's numerous privacy and security concerns?
Chapter-2
Factors Effecting IoT
Chapter-3
Approach and Methodology
Chapter-4
Findings, Analysis and Summary
Chapter-5
Conclusion and Recommendation
References
David Niewolny. How the Internet of Things Is Revolutionizing Healthcare. https://cache.freescale.com/files/corporate/doc/white_paper/IOTREVHEALCARWP.pdf
Jaydip Sen. Security and privacy issues in cloud computing. Innovation Labs, Tata Consultancy Services Ltd., Kolkata, India. https://arxiv.org/ftp/arxiv/papers/1303/1303.4814.pdf
Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, and Patrick McDaniel. 2019. Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities. ACM Comput. Surv.52, 4, Article 74 (August 2019), 30 pages.
https://doi.org/10.1145/3333501
Roman, R., Zhou, J., & Lopez, J. (2013). On the features and challenges of security and privacy in distributed Internet of Things. Computer Networks, 57(10), 2266–2279. https://doi.org/10.1016/j.comnet.2012.12.018.
Mäkinen, J. (2015). Data quality, sensitive data and joint controllership as examples of grey areas in the existing data protection framework for the Internet of Things. Information & Communications Technology Law, 24(3), 262–277.
https://doi.org/10.1080/13600834.2015.1091128
2
2