Protection of Personal Data and Internet of Things Security-Reference-Cited by-同舟云学术

Protection of Personal Data and Internet of Things Security

Published:2023-01-20 Issue: Volume: Page:196-224
ISSN:1948-9730
Container-title:Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
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Author:

Charanarur Panem¹,Gundu Srinivasa Rao²,Vijaylaxmi J.³

Affiliation:

1. Department of Cyber Security and Digital Forensics, National Forensic Sciences University, India

2. Government Degree College Sitaphalamandi, Hyderabad, India

3. PVKK Degree and PG College, Anantapur, India

Abstract

Every aspect of our life, from travel and healthcare to entertainment and governmental interactions, stands to benefit greatly from the advent of the internet of things. Despite this enormous potential, however, a number of significant obstacles must first be overcome. The race to create laws, rules, and governance that will lead this progress without strangling innovation has become more difficult because of the exponential expansion in the number of connected devices. Discover the origins of the IoT, its many definitions, and some of its most important uses in this in-depth read. Future fears and difficulties relating to security and privacy are taken into account, both generally and in the more specific context of individual applications.

Publisher

IGI Global

Reference20 articles.

1. Alarabi, S., Almuzeri, S., Alaradi, S., & Innab, N. (2018, April). Two Level Based Privacy Protection Approach for internet of things Users in Cloud Computing. In 2018 21st Saudi Computer Society National Computer Conference (NCC) (pp. 1-6). IEEE.

2. Governance Challenges for the Internet of Things

3. Blanchard, A., Kosmatov, N., & Loulergue, F. (2018). Tutorial: Secure Your Things: Secure Development of IoT Software with Frama-C. 2018 IEEE Cybersecurity Development (SecDev), 126-127.

4. Brumfitt, H. A., Askwith, B., & Zhou, B. (2015, October). Protecting Future Personal Computing: Challenging Traditional Network Security Models. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (pp. 1772-1779). IEEE.

5. Du, W., Li, A., Zhou, P., Xu, Z., Wang, X., Jiang, H., & Wu, D. (2020). Approximate to be great: Communication efficient and privacy-preserving large-scale distributed deep learning in internet of things. IEEE internet of things Journal, 7(12), 11678-11692.