Evaluation factors for blockchain identity management systems
Every system has specific functions to run appropriately to meet system requirements. Thus, Blockchain (BC) Identity Management (IdM) systems built for applications, such as Health Internet of Things (HIoT), should consider IdM technical aspects and HIoT application’s requirements, standardisation and regulations. BC is the foundation of BC-IdM systems, and thus it is at the core of this study. The evaluation factors are essential in determining the reliability and suitability of such systems, particularly in security systems designed to be security guards, such as IdM systems. In addition, cybersecurity risk management for such systems should evaluate the security, technical, application require- ments, and organisational aspects to mitigate security risks and ensure functional systems. In this article, we conducted a literature review on BC-IdM systems and identified the components of the BC-IdM ecosys- tem and the evaluation factors for BC-based IdM systems. The evalu- ation factors are divided into four main criteria: security and privacy, technical, application, and external factors. Moreover, a case study of BC-IdM in HIoT systems is discussed to show the application evaluation factors.
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Proceedings of the International Conference on Cybersecurity,pp. 49-74 Onwubiko, C., et al, 2024Situational Awareness and Social Media. CYBER SCIENCE 2023. Springer Proceedings in Complexity. Springer, SingaporePublisher
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This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect postacceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-981-99-6974-6_4 Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsAlso affiliated with
- LERO - The Science Foundation Ireland Research Centre for Software
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- Computer Science & Information Systems