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Post-Quantum Authentication Framework Based on Iris Recognition and Homomorphic Encryption

delete2025-01-01
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OA
AI
M
Mariano López-García
E
Enrique Cantó
DOI:10.1109/ACCESS.2025.3605676delete
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Abstract

Abstract

En 中文
This paper proposes an authentication protocol based on post-quantum cryptography and iris recognition. The process uses a modified version of the original McEliece cryptographic algorithm that provides post-quantum security. Additionally, iris recognition is included in the decryption process, ensuring that only authentic users have access to confidential information, or can operate critical infrastructures or systems that must be protected against malicious users or impostors. A distributed framework, in which several autonomous entities interact with each other, participates in the whole process to reduce the odds of a successful attack. Biometric templates are encrypted and safely stored in a database. These templates meet all requirements described in the ISO/IEC 24745 standard regarding data protection. Due to the homomorphic property of McEliece, the decryption process operates using the encrypted version of these biometric templates, ensuring that critical information is not revealed. The use of McEliece does not affect the overall accuracy of the recognition process, so that the same False Acceptance and False Rejection rates are obtained when compared with the non-protected scheme.
Keywords:
Biometric cryptosystem
cancelable biometrics
iris recognition
McEliece cryptosystem
post-quantum cryptography

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

U
universitat rovira i virgili, tarragona, spain
Scholars:
4
Papers: 2
Citations: 0
Cited Papers

Cited Papers

An Application of the Goldwasser-Micali Cryptosystem to Biometric Authentication
err2007-01-01
err0
PREAI
errJulien Bringer; Hervé Chabanne; Malika Izabachène; David Pointcheval; Qiang Tang; Sébastien Zimmer
errShare
errSave
Privacy-preserving iris authentication using fully homomorphic encryption
err2020-03-18
err37
PREAI
errMorampudi, Mahesh Kumar; Prasad, Munaga V. N. K.; Raju, U. S. N.
errShare
errSave
UBIRIS: A Noisy Iris Image Database
err2005-01-01
err0
errOAAI
errHugo Proença; Luís A. Alexandre
errShare
errSave
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