Kaaniche, N. orcid.org/0000-0002-1045-6445, Kiennert, C., Laurent, M. et al. (1 more author) (2023) Anonymous certification for E-assessment opinion polls. Journal of Ambient Intelligence and Humanized Computing, 14 (11). pp. 14979-14993. ISSN 1868-5137
Abstract
Anonymous certification (AC) refers to cryptographic mechanisms in which users get certified from trusted issuers, with regard to some pre-defined user attributes, in order to produce presentation tokens. Such tokens satisfy service providers’ access policies, without revealing sensitive user information. AC systems are generally classified under two main different categories: (1) one-time show credentials that can be shown once for avoiding their originating user being traced from one transaction to another, and (2) multi-show credentials that can be used many times while avoiding their originating user to be traced. In this paper, we consider e-assessment opinion polls scenarios and propose an AC scheme where the one-time show property is relevant for making sure each user cannot hand in more than one poll in order to get significant results. To mitigate cheating, the scheme is provided with two extra procedures: attribute revocation and anonymity removal. The correctness of our scheme, as well as unforgeability, privacy and anonymity removal, are analyzed and demonstrated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Springer-Verlag. This is an author-produced version of a paper subsequently published in Journal of Ambient Intelligence and Humanized Computing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Security and protection; Access control; Management of computing and information systems; Privacy; Anonymous credentials; Attribute-based signatures; Bilinear pairings; Anonymous certification |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Nov 2019 14:18 |
Last Modified: | 17 May 2024 14:57 |
Status: | Published |
Publisher: | Springer |
Refereed: | Yes |
Identification Number: | 10.1007/s12652-019-01545-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152911 |