A new framework for privacy-preserving biometric-based remote user authentication

Title: A new framework for privacy-preserving biometric-based remote user authentication
Creator: Tian, Yangguang; Li, Yingjiu; Deng, Robert H.; Li, Nan; Wu, Pengfei; Liu, Anyi
Relation: Journal of Computer Security Vol. 28, Issue 4, p. 469-498
Publisher Link: http://dx.doi.org/10.3233/JCS-191336
Publisher: IOS Press
Resource Type: journal article
Date: 2020
Description: In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve user authenticity and strong privacy. In particular, the general framework ensures that: (1) a strong privacy and a log-linear time-complexity are achieved by using a new tree-based ORAM protocol; (2) a constant bandwidth cost is achieved by exploiting computational fuzzy extractors in the challenge-response phase of remote user authentications.
Subject: computational fuzzy extractors; constant bandwidth; oblivious RAM; remote user authentication; strong privacy
Identifier: http://hdl.handle.net/1959.13/1439152
Identifier: uon:40837
Identifier: ISSN:0926-227X
Language: eng
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