Authors:
Patrick Lacharme
;
Estelle Cherrier
and
Christophe Rosenberger
Affiliation:
Normandie Univ., UNICAEN, ENSICAEN and CNRS, France
Keyword(s):
Biometrics, Security, Privacy, Data Protection, Cancelable Biometrics, BioHashing, Spoofing Attacks, Genetic Algorithms.
Related
Ontology
Subjects/Areas/Topics:
Biometrics Security and Privacy
;
Identification, Authentication and Non-Repudiation
;
Information and Systems Security
Abstract:
Biometric recognition is more and more employed in authentication and access control of various applications. Biometric data are strongly linked with the user and do not allow revocability nor diversity, without an adapted post-processing. Cancelable biometrics, including the very popular algorithm BioHashing, is used to cope with the underlying privacy and security issues. The principle is to transform a biometric template in a BioCode, in order to enhance user privacy and application security. These schemes are used for template protection of several biometric modalities, as fingerprints or face and the robustness is generally related to the hardness to recover the original biometric template by an impostor. In this paper, we propose to use genetic algorithms to approximate the original biometric feature and spoof the authentication system. We show through experimental results on fingerprints the efficiency of the proposed attack on the BioHashing algorithm, by approximating the or
iginal FingerCode, given the seed and the corresponding BioCode.
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