Publication Type

Journal Article

Version

submittedVersion

Publication Date

4-2020

Abstract

Fuzzy extractors convert biometrics and other noisy data into a cryptographic key for security applications such as remote user authentication. Leakage attacks, such as side channel attacks, have been extensively modelled and studied in the literature. However, to the best of our knowledge, leakage attacks to biometric-based remote user authentication with fuzzy extractors have never been studied rigorously. In this paper, we propose a generic framework of leakage-resilient and privacy-preserving biometric-based remote user authentication that allows an authorized user to securely authenticate herself to a remote authentication server using her biometrics. In particular, the authorized user relies only on her secret biometrics to perform a valid authentication - which is suitable for user authentications in a cross-platform setting.

Keywords

Leakage resilient, Remote user authentication, Cross platform setting

Discipline

Information Security

Research Areas

Cybersecurity

Publication

Theoretical Computer Science

Volume

814

First Page

223

Last Page

233

ISSN

0304-3975

Identifier

10.1016/j.tcs.2020.02.001

Publisher

Elsevier

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1016/j.tcs.2020.02.001

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