Improving IoT Privacy, Data Protection and Security Concerns

Author:

Lee Calvin,Ahmed Gouher

Abstract

IoT has continued to evolve over the years with a promise to provide the users with effective means to interact, communicate, transact and create strong relationship. The invention and the development of IoT have created benefits for many businesses and individuals. However, as the IoT continues to evolve and develop, it has been subjected to certain threats and vulnerabilities. The common vulnerabilities notable in IoT include the security, privacy and data protection concerns. These issues have not been addressed by many scholars thus necessitated the need for this research study. Therefor the research study was concerned with the developed of a new IoT model that can enhance the security and privacy of the users of the IoT. The results indicate that the new model can be effective in addressing the needs of the IoT users. However, it noted that future research studies are still needed to improve the performance of the IoT security models.

Publisher

Global Academic Forum on Technology, Innovation And Management (GAFTIM)

Cited by 60 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Mathematics Education;Advances in Information Quality and Management;2024-07-01

2. Enhancing Data Privacy in IoT Cloud Environments with Trust Management;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

3. Internet of Things (IoT) of Smart Homes: Privacy and Security;Journal of Electrical and Computer Engineering;2024-04-08

4. Explainable Artificial Intelligence (EAI) Based Disease Prediction Model;Studies in Big Data;2024

5. Digital Transformation and Disruptive Technologies: Effect of Cloud Computing and Devops on Managing Projects;Studies in Big Data;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3