Blockchain-Based Medical Data Asset Sharing Framework for Healthcare 4.0

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-01-20 DOI:10.1109/TII.2024.3488795
Ming Li;Arjun Rachana Harish;Chenglin Yu;Ying Yu;Ray Y. Zhong;George Q. Huang
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Abstract

To promote the sharing of medical data assets (MDAs) in a more secure and sustainable manner, this article presents a blockchain-based MDA sharing framework. The contributions of this article are threefold. First, we designed a layered-architecture to decouple the privacy-preserving responsibilities among technologies considering the incentive rewarding and parallelization of execution. Second, we introduce zero-knowledge proofs (ZKPs) in smart contracts with a group signature to construct a supervisory privacy-preserving sharing mechanism, which can be executed in a decentralized environment to protect the privacy of MDAs. Third, we introduce an incentive mechanism that motivates MDA sharing by capturing the decentralized features of the participants to deliver fair rewards. The experiments show that our framework achieves a comprehensive privacy protection on sharing MDAs, comparing with single blockchain sharing schema, with only 2.2% sacrifice on TPS (throughput/second). Moreover, our framework has better potential for large-scale application due to the paralleled execution on ZKP-based smart contracts.
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基于区块链的医疗4.0医疗数据资产共享框架
为了以更安全和可持续的方式促进医疗数据资产(MDA)的共享,本文提出了一种基于区块链的MDA共享框架。这篇文章有三方面的贡献。首先,考虑到激励奖励和执行并行化,设计了一种分层架构来解耦技术之间的隐私保护责任。其次,在群签名的智能合约中引入零知识证明(zero-knowledge proofs, ZKPs),构建监督式隐私保护共享机制,该机制可在去中心化环境下执行,以保护mda的隐私。第三,我们引入了一种激励机制,通过捕捉参与者的分散特征来激励MDA共享,从而提供公平的奖励。实验表明,与单一区块链共享模式相比,我们的框架在共享mda上实现了全面的隐私保护,TPS(吞吐量/秒)仅牺牲2.2%。此外,由于在基于zkp的智能合约上并行执行,我们的框架具有更好的大规模应用潜力。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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