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.
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