Blockchain Empowerment for Securing IoT Sensory Data in Next-Gen Intelligent Systems

Author:

Logambigai R.1ORCID,Babu C. V. Suresh2ORCID

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India

2. Hindustan Institute of Technolgy and Science, India

Abstract

This chapter, titled “Blockchain Empowerment for Securing IoT Sensory Data in Next-Gen Intelligent Systems,” systematically investigates the pivotal role of blockchain in safeguarding IoT sensory data, crucial for next-generation intelligent systems. Beginning with an elucidation of IoT sensory data and its significance, the chapter establishes a foundation for comprehending blockchain's role in ensuring the security of this sensitive information. Subsequent sections explore how blockchain technology offers a decentralized and secure framework, overcoming challenges posed by traditional centralized data management systems. Real-world examples shed light on the practical implications of immutable data records, emphasizing the contribution of Blockchain to advancing next-gen intelligent systems. Furthermore, the chapter explores additional use cases, emphasizing privacy-preserving techniques that enhance the secure management of IoT sensory data, providing a comprehensive understanding of the intersection between Blockchain and IoT security.

Publisher

IGI Global

Reference82 articles.

1. Outlook on moving of computing services towards the data sources

2. A Prototype Evaluation of a Tamper-Resistant High Performance Blockchain-Based Transaction Log for a Distributed Database

3. From “Smart Objects” to “Social Objects”: The Next Evolutionary Step of the Internet of Things.;L.Atzori;IEEE Communications Magazine,2017

4. Blockchain Technology in Business and Information Systems Research

5. Zerocash: Decentralized Anonymous Payments from Bitcoin.;E.Ben-Sasson;IEEE Symposium on Security and Privacy,2014

Cited by 1 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. Guardians of Health Data;Advances in Healthcare Information Systems and Administration;2024-05-28

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