Bai, P, Kumar, S, Aggarwal, G ORCID: https://orcid.org/0000-0002-8338-2504, Mahmud, M ORCID: https://orcid.org/0000-0002-2037-8348, Kaiwartya, O ORCID: https://orcid.org/0000-0001-9669-8244 and Lloret, J, 2022. Self-sovereignty identity management model for smart healthcare system. Sensors, 22 (13): 4714. ISSN 1424-8220
Full text not available from this repository.Abstract
An identity management system is essential in any organisation to provide quality services to each authenticated user. The smart healthcare system should use reliable identity management to ensure timely service to authorised users. Traditional healthcare uses a paper-based identity system which is converted into centralised identity management in a smart healthcare system. Centralised identity management has security issues such as denial of service attacks, single-point failure, information breaches of patients, and many privacy issues. Decentralisedidentity management can be a robust solution to these security and privacy issues. We proposed a Self-Sovereign identity management system for the smart healthcare system (SSI-SHS), which manages the identity of each stakeholder, including medical devices or sensors, in a decentralisedmanner in the Internet of Medical Things (IoMT) Environment. The proposed system gives the user complete control of their data at each point. Further, we analysed the proposed identity management system against Allen and Cameron’s identity management guidelines. We also present the performance analysis of SSI as compared to the state-of-the-art techniques.
Item Type: | Journal article |
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Publication Title: | Sensors |
Creators: | Bai, P., Kumar, S., Aggarwal, G., Mahmud, M., Kaiwartya, O. and Lloret, J. |
Publisher: | MDPI |
Date: | 22 June 2022 |
Volume: | 22 |
Number: | 13 |
ISSN: | 1424-8220 |
Identifiers: | Number Type 10.3390/s22134714 DOI 1557905 Other |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 24 Jun 2022 15:41 |
Last Modified: | 24 Jun 2022 15:41 |
URI: | https://irep.ntu.ac.uk/id/eprint/46479 |
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