一种基于身份的去中心化区块链解决方案,用于个人受控数据的隐私保护许可,以防止未经授权的二次数据使用

IF 0.6 Q4 ECONOMICS Ledger Pub Date : 2021-11-23 DOI:10.5195/ledger.2021.239
Meng-Chow Kang, V. Lemieux
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引用次数: 9

摘要

本文提出了一种区块链解决方案的设计,旨在防止未经授权的数据二次使用。该解决方案汇集了身份管理、机密计算和高级数据使用控制领域的先进技术。在身份管理领域,该解决方案与新兴的去中心化身份标准保持一致:去中心化标识符(DID)、DID通信和可验证凭据(vc)。在保密计算方面,系统采用了Cheon-Kim-Kim-Song (CKKS)全同态加密(FHE)方案,以保护个人数据的隐私,并防止在与潜在用户共享时未经授权的二次使用。在高级数据使用控制领域,该解决方案利用ppri - drm解决方案体系结构派生出一种新的数据使用许可方法,以防止个人持有的数据未经授权被二次使用。具体来说,我们的设计涵盖了数据共享生态系统中的必要角色:个人数据的发行者、个人数据的个人持有者(即数据主体)、可信数据存储管理器、可信许可证分发者和数据消费者。概念验证的实现利用了超级账本Indy/Aries项目开发的去中心化身份框架。评估了一个基因组数据许可用例,显示了该解决方案的可行性和可扩展性。
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A Decentralized Identity-Based Blockchain Solution for Privacy-Preserving Licensing of Individual-Controlled Data to Prevent Unauthorized Secondary Data Usage
This paper presents a design for a blockchain solution aimed at the prevention of unauthorized secondary use of data. This solution brings together advances from the fields of identity management, confidential computing, and advanced data usage control. In the area of identity management, the solution is aligned with emerging decentralized identity standards: decentralized identifiers (DIDs), DID communication and verifiable credentials (VCs). In respect to confidential computing, the Cheon-Kim-Kim-Song (CKKS) fully homomorphic encryption (FHE) scheme is incorporated with the system to protect the privacy of the individual’s data and prevent unauthorized secondary use when being shared with potential users. In the area of advanced data usage control, the solution leverages the PRIV-DRM solution architecture to derive a novel approach to licensing of data usage to prevent unauthorized secondary usage of data held by individuals. Specifically, our design covers necessary roles in the data-sharing ecosystem: the issuer of personal data, the individual holder of the personal data (i.e., the data subject), a trusted data storage manager, a trusted license distributor, and the data consumer. The proof-of-concept implementation utilizes the decentralized identity framework being developed by the Hyperledger Indy/Aries project. A genomic data licensing use case is evaluated, which shows the feasibility and scalability of the solution.
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来源期刊
Ledger
Ledger Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.20
自引率
0.00%
发文量
2
审稿时长
40 weeks
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