区块链授权的可信数据共享:基础、应用和挑战

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Thanh Linh Nguyen, Lam Nguyen, Thong Hoang, Dilum Bandara, Qin Wang, Qinghua Lu, Xiwei Xu, Liming Zhu, Shiping Chen
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引用次数: 0

摘要

在公众对开放数据的需求和立法授权的推动下,数据共享平台的兴起引发了几个相关问题。这些问题包括数据准确性、来源和血统、隐私问题、同意管理以及对数据提供者缺乏公平激励等方面的不确定性。b区块链的高级特性使它非常适合解决这些问题。然而,区块链的局限性,特别是其有限的性能、可扩展性和高成本,使其不太擅长管理大数据的四个“V”——数量、种类、速度和准确性。随着提出基于区块链的数据共享解决方案的工作越来越多,在这些平台之间选择的困惑也越来越多,特别是在共享机制、服务、服务质量和应用程序方面。在本文中,我们的目标是通过对基于区块链的数据共享架构和应用的深入调查来填补这一知识空白。我们首先确定了现有数据共享技术的主要挑战,并奠定了区块链的基础。然后,我们的重点转移到区块链和数据共享的交叉点,我们的目标是澄清现有的景观,并提出基于区块链的数据共享的参考架构。随后,我们探索基于区块链的数据共享的各种工业应用,涵盖医疗保健,智能电网,交通运输和脱碳。对于每个应用程序,我们从现实世界的部署中吸取教训,介绍在实施基于区块链的数据共享过程中吸取的关键经验教训。最后,我们阐明了当前的研究挑战,并为该领域的进一步研究开辟了道路。本文旨在为希望驾驭基于区块链的数据共享解决方案的复杂领域的研究人员/从业者提供全面的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
The rise of data-sharing platforms, driven by public demand for open data and legislative mandates, has raised several pertinent issues. These encompass uncertainties over data accuracy, provenance and lineage, privacy concerns, consent management, and the lack of equitable incentives for data providers. The advanced nature of blockchain makes it well-suited to address these concerns. Yet, the limitations of blockchains, particularly their restricted performance, scalability, and high cost, make them less adept at managing the four “V” of big data - volume, variety, velocity, and veracity. As the body of work proposing blockchain-based data-sharing solutions grows, so does the confusion in selecting between these platforms, particularly in terms of sharing mechanisms, services, quality of services, and applications. In this paper, we aim to fill this knowledge gap through an in-depth survey of blockchain-based data-sharing architectures and applications. We first identify the key challenges of existing data-sharing techniques and lay out the foundations of blockchains. Our focus then shifts to the intersection of blockchain and data sharing, wherein we aim to clarify the existing landscape and propose a reference architecture for blockchain-based data sharing. Subsequently, we explore various industrial applications of blockchain-based data sharing, spanning healthcare, smart grids, transportation, and decarbonization. For each application, we draw from real-world deployments to present key lessons learned in the implementation of blockchain-based data sharing. Lastly, we shed light on current research challenges and open avenues for further study in this space. This paper aims to serve as a comprehensive resource for researchers/practitioners looking to navigate the complex terrain of blockchain-based data-sharing solutions.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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