A Privacy-Preserving Blockchain Platform for a Data Marketplace

Author:

Klaine Paulo Valente1ORCID,Xu Hao1ORCID,Zhang Lei1ORCID,Imran Muhammad1ORCID,Zhu Ziming2ORCID

Affiliation:

1. James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

2. Bristol Research and Innovation Laboratory, Toshiba Europe Limited, Bristol, United Kingdom

Abstract

Recent data leak scandals, together with the under-utilization of collected data (estimated that around 90% of data never leaves a device’s local storage), limits the applicability and potential of novel data driven applications. Thus, novel ways to treat data, in which users are guaranteed control, usability, and privacy over their generated data are needed. In this paper we propose a novel privacy-preserving blockchain framework for a data sharing marketplace. The proposed framework allows users (such as sensors and devices) that generate data to store it in external servers, while the blockchain is utilized to record buy and sell transactions between parties, as well as perform access control by generating access sequences whenever trades are performed. A novel perspective over data ownership is presented, in which whoever generates the data has completed ownership and control over it and the blockchain transactions are only utilized to guarantee temporary access to it. The proposed blockchain framework also supports different types of data and provides, via the distributed and openness of the framework, quality, timeliness and similarity control over the data stored in the marketplace. In this context, different types of applications that can benefit from this framework are presented and open problems are discussed.

Funder

UK EPSRC

Publisher

Association for Computing Machinery (ACM)

Reference35 articles.

1. https://geth.ethereum.org/docs/

2. Secure crowdsensed data trading based on blockchain;An Baoyi;IEEE Transactions on Mobile Computing,2021

3. Blockchain enabled data marketplace–design and challenges;Banerjee Prabal;arXiv preprint arXiv:1811.11462,2018

4. Wireless communications in the era of big data

5. When Internet of Things Meets Blockchain: Challenges in Distributed Consensus

Cited by 5 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. AI and Blockchain Enabled Future Wireless Networks: A Survey And Outlook;Distributed Ledger Technologies: Research and Practice;2024-09-09

2. Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

3. Using Privacy-Preserving Algorithms and Blockchain Tokens to Monetize Industrial Data in Digital Marketplaces;Computers;2024-04-18

4. Industrial data monetization: A blockchain-based industrial IoT data trading system;Internet of Things;2023-12

5. Transaction Mechanism of Measurement and data Privacy;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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