基于令牌的非传染性健康记录市场

IET Blockchain Pub Date : 2023-11-13 DOI:10.1049/blc2.12057
Valli S Kumar, John J. Lee, Qin Hu
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引用次数: 0

摘要

随着以患者为中心的护理理念日益深入人心,多方协作共享实时敏感数据并进行更精细的访问控制变得至关重要。大多数基于区块链技术在医疗领域的现有研究都讨论了各种应用场景和安全方面,但没有关注数据所有权、安全数据共享或更精细的访问控制。在这项工作中,提出了一种基于不可篡改令牌(NFT)的系统,以实现健康记录市场。该系统利用 NFT 技术提供双重所有权以及更精细的访问控制和数据共享效率。允许的区块链和跨专有文件系统(IPFS)的优势被用于链外数据存储,以提高安全性和效率。由于价格决定在市场中至关重要,因此利用斯塔克尔伯格博弈论来确定数据所有者和消费者的定价策略。此外,为了有效实现更精细的访问控制,还提出了一种利用强化学习的基于流行度的自适应 NFT 管理方案。仿真实验证明了我们所提方案的准确性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Non-fungible token-based health record marketplace

With an increasing affinity towards patient-centric care, sharing real-time sensitive data for collaboration between multiple parties with finer access control becomes critical. Most existing studies based on the blockchain technology in the medical field discuss various application scenarios and security aspects, without focusing on data ownership, secure data sharing, or finer access control. In this work, a non-fungible token (NFT)-based system is proposed to implement a health record marketplace. The system leverages the NFT technology to provide dual ownership along with finer access control and efficiency in data sharing. The advantage of permissioned blockchain along with InterPlanetary File System (IPFS) are taken for off-chain data storage to improve security and efficiency. Because price determination is critical in the market, Stackelberg game theory is utilized to determine pricing strategies for both data owners and consumers. Also, to efficiently achieve finer access control, a popularity-based adaptive NFT management scheme using reinforcement learning is proposed. Simulation experiments are carried out to demonstrate accuracy and efficiency of our proposed schemes.

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CiteScore
1.80
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0.00%
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