BSPPF: Blockchain-Based Security and Privacy Preventing Framework for Data Middle Platform in the Era of IR 4.0

Author:

Chen Chuqiao12ORCID,Goyal S. B.1ORCID,Ramaswamy Kiran3ORCID

Affiliation:

1. Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia

2. City College of Huizhou, School of Information, Huizhou 510025, China

3. Department of Electrical and Computer Engineering, Ambo University, Ambo, Ethiopia

Abstract

Security and privacy issues about Big Data have emerged as one of the most pressing concerns in both academic circles and the business world in the era of IR 4.0. These worries are made worse because businesses are beginning to construct their own Big Data-based Data Middle Platform. The research team has summarized the security and privacy protection issues of Big Data-based Data Middle Platform by combining previous research and providing a table that lists some contributions that the blockchain uses for security and privacy protection in Big Data. A general Data Middle Platform architecture is also be given in the Methodology section. Based on this architecture, the team unveiled blockchain-based security and privacy protection framework on the Data Middle Platform in this study. This approach emphasizes mitigating the security and privacy issues posed by sensitive data entering the Data Middle Platform and data published by the Data Middle Platform. Following that, the researchers developed a testing system based on this framework to determine whether or not the framework was both feasible and practicable. The trials revealed that the framework is applicable, even though it requires further development and refinement.

Publisher

Hindawi Limited

Subject

General Materials Science

Cited by 4 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. A taxonomy of endpoint vulnerabilities and affected blockchain architecture layers;Concurrency and Computation: Practice and Experience;2024-05-29

2. A Patient-centric Blockchain-based system for access management in telehealth and telemedicine domain;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

3. Cognitive Graph Empowered Textile and Clothing Intelligent Service Platform;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22

4. CG-Transmission: A New Encrypted Transmission Method for the Data Middle Platform;Proceedings of Fourth Doctoral Symposium on Computational Intelligence;2023

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