基于区块链的数据共享和交换方案研究

IF 7.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rui Song;Bin Xiao;Yubo Song;Songtao Guo;Yuanyuan Yang
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引用次数: 0

摘要

区块链的数据不变性、透明性和去中心化使其广泛应用于物联网、金融、能源、医疗等各个领域。随着大数据时代的到来,各种公司和组织迫切需要来自其他各方的数据进行数据分析和挖掘,以提供更好的服务。因此,数据共享和数据交换已经成为一个巨大的产业。传统的集中式数据平台面临着隐私泄露、交易成本高、缺乏互操作性等诸多问题。将区块链引入该领域可以解决这些问题,同时提供分散的数据存储和交换、访问控制、身份认证和版权保护。尽管近年来提出了许多令人印象深刻的基于区块链的数据共享或数据交换方案,但仍然缺乏对该领域工作的审查和总结。在本文中,我们对基于区块链的数据共享和数据交换平台进行了详细的调查,讨论了该领域的最新技术架构和研究成果。特别是,我们首先调查了当前基于区块链的数据共享解决方案,并对系统架构、访问控制、互操作性和安全性进行了详细分析。然后,我们回顾了基于区块链的数据交换系统和数据市场,讨论了交易流程、货币化、版权保护和其他相关主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange
Data immutability, transparency and decentralization of blockchain make it widely used in various fields, such as Internet of things, finance, energy and healthcare. With the advent of the Big Data era, various companies and organizations urgently need data from other parties for data analysis and mining to provide better services. Therefore, data sharing and data exchange have become an enormous industry. Traditional centralized data platforms face many problems, such as privacy leakage, high transaction costs and lack of interoperability. Introducing blockchain into this field can address these problems, while providing decentralized data storage and exchange, access control, identity authentication and copyright protection. Although many impressive blockchain-based schemes for data sharing or data exchange scenarios have been presented in recent years, there is still a lack of review and summary of work in this area. In this paper, we conduct a detailed survey of blockchain-based data sharing and data exchange platforms, discussing the latest technical architectures and research results in this field. In particular, we first survey the current blockchain-based data sharing solutions and provide a detailed analysis of system architecture, access control, interoperability, and security. We then review blockchain-based data exchange systems and data marketplaces, discussing trading process, monetization, copyright protection and other related topics.
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来源期刊
CiteScore
11.80
自引率
2.80%
发文量
114
期刊介绍: The IEEE Transactions on Big Data publishes peer-reviewed articles focusing on big data. These articles present innovative research ideas and application results across disciplines, including novel theories, algorithms, and applications. Research areas cover a wide range, such as big data analytics, visualization, curation, management, semantics, infrastructure, standards, performance analysis, intelligence extraction, scientific discovery, security, privacy, and legal issues specific to big data. The journal also prioritizes applications of big data in fields generating massive datasets.
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