Foy, Mark, Martyn, Dolores, Daly, Debra, Byrne, Aoife, Aguneche, Chinwe and Brennan, Rob
ORCID: 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 INVALID USER. Last Modified 21 Sep 2022 16:34 |
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