Cited by 59Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningBig Data and Digital Economy

A Survey of Blockchain-Based Schemes for Data Sharing and Exchange

Song, Rui, Xiao, Bin, Song, Yubo, Guo, Songtao, Yang, Yuanyuan·2023·IEEE Transactions on Big Data

Abstract

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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Crossref · 10.1109/tbdata.2023.3293279

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124 of 124 references verified0 citation errors · 0 not checkable

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  • Federated learning enhances system robustness by ensuring efficient data utilization even in environments with limited network connectivity.

    “In terms of resilience, FL enhances system robustness through various means.For instance, it ensures efficient data utilization even in environments with limited network connectivity [60].”

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Authors
Song, R., Xiao, B., Song, Y., Guo, S., & Yang, Y.
Affiliations
  • Hong Kong Polytechnic University (HK)
  • Southeast University (CN)
  • Chongqing University (CN)
  • Stony Brook University (US)
Venue
IEEE Transactions on Big Data
Published
2023-12
Volume
9
Issue
6
Pages
1477-1495
ISSN
  • 2332-7790 (ISSN-L)
  • 2372-2096
OpenAlex
W4383503718
Cited by
59
References
124
Citations by year
2026: 13 · 2025: 20 · 2024: 26
FWCI
13.85
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Big Data (publishedVersion)
Funders
  • NSFC/RGC Joint Research Scheme (N_PolyU529/22)
  • HK RGC GRF PolyU (15209822)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Physical Sciences › Computer Science › Information Systems › Big Data and Digital Economy
Keywords
blockchain, data sharing, data exchange, data markets, access control, interoperability, data security, copyright protection, decentralized storage, identity verification, data privacy, monetization, system architecture

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