Self-Sovereignty Identity Management Model for Smart Healthcare System.

Pinky Bai, Sushil Kumar, Geetika Aggarwal, Mufti Mahmud, Omprakash Kaiwartya, Jaime Lloret
Author Information
  1. Pinky Bai: School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India. ORCID
  2. Sushil Kumar: School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India. ORCID
  3. Geetika Aggarwal: Department of Engineering, Nottingham Trent University, Nottingham NG11 8NS, UK. ORCID
  4. Mufti Mahmud: Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK. ORCID
  5. Omprakash Kaiwartya: Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK. ORCID
  6. Jaime Lloret: Department of Communications, Universitat Politècnica de València, 46022 Valencia, Spain. ORCID

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.

Keywords

References

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  2. Sensors (Basel). 2022 Jun 02;22(11): [PMID: 35684876]
  3. Mater Today Proc. 2021 Mar 22;: [PMID: 33777707]
  4. Sensors (Basel). 2020 Jan 15;20(2): [PMID: 31952172]
  5. Sensors (Basel). 2018 Dec 01;18(12): [PMID: 30513733]

Grants

  1. 00/Nottingham Trent University

MeSH Term

Computer Security
Delivery of Health Care
Humans
Internet of Things
Privacy
Self-Management

Word Cloud

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