A survey on biometric cryptosystems and cancelable biometrics

Rathgeb, Christian; Uhl, Andreas

doi:10.1186/1687-417x-2011-3

Cited by 505 publications

(350 citation statements)

References 176 publications

(286 reference statements)

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“…Therefore, any template protection approach should allow to revoke a biometric data in case of interception, and should be carefully designed, with a strong security analysis. Among the different solutions in the literature, template protection can be achieved using biometric cryptosystems [15], [14], [9], [20] or by transforming the biometric feature data [22], [5], [25], [23]. As detailed in the next section, BioHashing is one popular scheme that belongs to this second category and allows to revoke a biometric template.…”

Section: Proposed Authentication Protocolmentioning

confidence: 99%

One-Time Biometrics for Online Banking and Electronic Payment Authentication

Plateaux

Lacharme

Jøsang

et al. 2014

Lecture Notes in Computer Science

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Abstract-Online banking and electronic payment systems on the Internet are becoming increasingly advanced. On the machine level, transactions take place between client and server hosts through a secure channel protected with SSL/TLS. User authentication is typically based on two or more factors. Nevertheless, the development of various malwares and social engineering attacks transform the user's PC in an untrusted device and thereby making user authentication vulnerable. This paper investigates how user authentication with biometrics can be made more robust in the online banking context by using a specific device called OffPAD. This context requires that authentication is realized by the bank and not only by the user (or by the personal device) contrary to standard banking systems. More precisely, a new protocol for the generation of one-time passwords from biometric data is presented, ensuring the security and privacy of the entire transaction. Experimental results show an excellent performance considering with regard to false positives. The security analysis of our protocol also illustrates the benefits in terms of strengthened security.

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Section: Proposed Authentication Protocolmentioning

confidence: 99%

One-Time Biometrics for Online Banking and Electronic Payment Authentication

Plateaux

Lacharme

Jøsang

et al. 2014

Lecture Notes in Computer Science

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“…Furthermore, it is pursued to fix the definition of metrics for measuring irreversibility, secrecy, and unlinkability and to devise methods for empirical evaluation of these metrics. The template protection schemes proposed in literatures can be broadly classified into two categories, feature transformation approach and biometric cryptosystem [2], [3]. The former [4]- [16] has a high degree of freedom for signal processing in the protected domain, compared to the latter [17]- [21].…”

Section: Introductionmentioning

confidence: 99%

Unitary Transform-Based Template Protection and Its Application to <i>l</i><sup>2</sup>-norm Minimization Problems

Nakamura

Tonomura

Kiya

2016

IEICE Trans. Inf. & Syst.

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SUMMARYWe focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l 2 -norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l 2 -norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.

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“…The objective of this paper is not to propose a new scheme for biometric template protection. For more details on these schemes, we refer the reader to the detailed survey [2].…”

Section: Introductionmentioning

confidence: 99%

Synchronous One Time Biometrics with Pattern Based Authentication

Lacharme

Rosenberger

2016

2016 11th International Conference on Availability, Reliability and Security (ARES)

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Abstract-One time passwords are commonly used for authentication purposes in electronic transactions. Nevertheless, providing such a one time password is not really a strong authentication proof because the token generating the passwords can be given by an impostor. In order to cope with this problem, biometric recognition is more and more employed. Even if biometric data are strongly linked with the user, their revocability nor diversity is possible, without an adapted postprocessing. Biometric template protection schemes, including the BioHashing algorithm, are used to manage the underlying privacy and security issues. These schemes are used for the protection of several biometric modalities, but are not necessary adapted for all of them. In this paper, we propose a new protocol combining protected biometric data and a classical synchronous one time password to enhance the security of user authentication while preserving usability and privacy. Behavioral biometrics is used to provide a fast and a usable solution for users. We show through experimental results the efficiency of the proposed method.

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A survey on biometric cryptosystems and cancelable biometrics

Cited by 505 publications

References 176 publications

One-Time Biometrics for Online Banking and Electronic Payment Authentication

One-Time Biometrics for Online Banking and Electronic Payment Authentication

Unitary Transform-Based Template Protection and Its Application to <i>l</i><sup>2</sup>-norm Minimization Problems

Synchronous One Time Biometrics with Pattern Based Authentication

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