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Blockchain-based governance models for COVID-19 digital health certificates: a legal, technical, ethical and security requirements analysis

Foy, Mark, Martyn, Dolores, Daly, Debra, Byrne, Aoife, Aguneche, Chinwe and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2022) Blockchain-based governance models for COVID-19 digital health certificates: a legal, technical, ethical and security requirements analysis. In: 8h International Workshop on Privacy and Security in HealthCare (PSCare 2021), 1 - 4 Nov 2022, Leuven, Belgium.

Abstract
This paper analyses the requirements of a blockchain-based data governance model for COVID-19 digital health certificates. Recognizing a gap in the existing literature, this paper aims to answer the research question “To what extent does a blockchain-based governance model for COVID-19 digital health certificates in the EU meet the relevant legal, technical, ethical and security requirements?” This paper identifies the required standards and develops a novel framework to determine the viability of blockchain as a governance model. The results of our evaluation indicate that while a private permissioned blockchain can meet the requirements to some degree, the governance element is key to legal compliance; legal risks and ethical implications remain unresolved with the use of blockchain. The paper also found that this model comes with the loss of the main advantages of blockchain – decentralization and anonymity. This evaluation framework may be used in other contexts and for assessing other technologies.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:blockchain; governance; GDPR; legal analysis; health certificate; COVID-19
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Procedia Computer Science. 198. Elsevier.
Publisher:Elsevier
Official URL:https://doi.org/10.1016/j.procs.2021.12.303
Copyright Information:© 2021 The Authors. Open Access (CC-BY-NC-ND 4.0)
Funders:ADAPT Centre for Digital Content Technology, funded under the SFI Research Centres Programme (Grant 13/RC/2106\_P2), European Regional Development Fund
ID Code:27761
Deposited On:21 Sep 2022 16:34 by Thomas Murtagh . Last Modified 21 Sep 2022 16:34
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