Distributed Ledger Technology for eHealth Identity Privacy: State of The Art and Future Perspective
by
Mohammed Amine Bouras 1
, Qinghua Lu 2, Fan Zhang 1, Yueliang Wan 3,4, Tao Zhang 5,* and Huansheng Ning 1,4,*
Mohammed Amine Bouras 1, Qinghua Lu 2, Fan Zhang 1, Yueliang Wan 3,4, Tao Zhang 5,* and Huansheng Ning 1,4,*
1
The School of Computer and Communication Engineering, University of Science and Technology, Beijing 100083, China
2
The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Data 61, Eveleigh NSW 2015, Australia
3
Run Technologies Company, Ltd., Beijing 100192, China
4
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China
5
Key Lab of Information Network Security, Ministry of Public Security, Shanghai 200031, China
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(2), 483; https://doi.org/10.3390/s20020483
Received: 8 November 2019 / Revised: 20 December 2019 / Accepted: 9 January 2020 / Published: 15 January 2020
(This article belongs to the Special Issue Blockchain Security and Privacy for the Internet of Things)
Electronic healthcare (eHealth) identity management (IdM) is a pivotal feature in the eHealth system. Distributed ledger technology (DLT) is an emerging technology that can achieve agreements of transactional data states in a decentralized way. Building identity management systems using Blockchain can enable patients to fully control their own identity and provide increased confidence in data immutability and availability. This paper presents the state of the art of decentralized identity management using Blockchain and highlights the possible opportunities for adopting the decentralized identity management approaches for future health identity systems. First, we summarize eHealth identity management scenarios. Furthermore, we investigate the existing decentralized identity management solutions and present decentralized identity models. In addition, we discuss the current decentralized identity projects and identify new challenges based on the existing solutions and the limitations when applying it to healthcare as a particular use case.
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MDPI and ACS Style
Bouras, M.A.; Lu, Q.; Zhang, F.; Wan, Y.; Zhang, T.; Ning, H. Distributed Ledger Technology for eHealth Identity Privacy: State of The Art and Future Perspective. Sensors 2020, 20, 483.
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