文章基本信息

标题：FaDe: A Blockchain-Based Fair Data Exchange Scheme for Big Data Sharing
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作者：Yuling Chen , , Jinyi Guo , Changlou Li ; Wei Ren
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2019
卷号：11
期号：11
页码：1-8
DOI：10.3390/fi11110225
出版社：MDPI Publishing
摘要：In the big data era, data are envisioned as critical resources with various values, e.g., business intelligence, management efficiency, and financial evaluations. Data sharing is always mandatory for value exchanges and profit promotion. Currently, certain big data markets have been created for facilitating data dissemination and coordinating data transaction, but we have to assume that such centralized management of data sharing must be trustworthy for data privacy and sharing fairness, which very likely imposes limitations such as joining admission, sharing efficiency, and extra costly commissions. To avoid these weaknesses, in this paper, we propose a blockchain-based fair data exchange scheme, called FaDe. FaDe can enable de-centralized data sharing in an autonomous manner, especially guaranteeing trade fairness, sharing efficiency, data privacy, and exchanging automation. A fairness protocol based on bit commitment is proposed. An algorithm based on blockchain script architecture for a smart contract, e.g., by a bitcoin virtual machine, is also proposed and implemented. Extensive analysis justifies that the proposed scheme can guarantee data exchanging without a trusted third party fairly, efficiently, and automatically.
关键词：big data transaction; blockchain; fair payment protocol; bitcoin; bit commitment big data transaction ; blockchain ; fair payment protocol ; bitcoin ; bit commitment