Soft biometrics in conjunction with optics based biohashing

Saini, Nirmala; Sinha, Aloka

doi:10.1016/j.optcom.2010.10.007

Cited by 8 publications

(7 citation statements)

References 21 publications

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“…This section is devoted to the definition of a framework to verify if the previous properties are fulfilled by a cancelable biometric system. Based on some of the early works [15], [3] which identified weak links in each subsystem of a generic authentication system, some papers consider the possible attacks in cancelable biometric systems (such as those presented in [18], [7], [13], [16]). In this paper, we strengthen this study with the proposition of an evaluation methodology, by taking into account each of the required properties.…”

Section: Proposed Methodologymentioning

confidence: 99%

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Evaluation of Cancelable Biometric Systems: Application to Finger-Knuckle-Prints

Belguechi

Cherrier

Abed

et al. 2011

2011 International Conference on Hand-Based Biometrics

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With more and more applications using biometrics, new privacy and security risks arise. Some new biometric systems have been proposed in the last decade following a privacy by design approach: cancelable biometric systems. Their evaluation is still an open issue in research. The objective of this paper is first to define an evaluation methodology for these particular biometric systems by proposing some metrics for testing their robustness. Second, we show through the example of a cancelable biometric system using finger-knuckle-prints how some privacy properties can be checked by simulating attacks.

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Section: Proposed Methodologymentioning

confidence: 99%

“…The BioHashing algorithm is one of the most popular technique and is based on biometric data salting. It has been developed for different biometric modalities such as those presented in [19], [2], [16]. In the sequel, we focus on BioHashing since some weaknesses have been reported in the former approach in [17].…”

Section: Previous Workmentioning

confidence: 99%

Evaluation of Cancelable Biometric Systems: Application to Finger-Knuckle-Prints

Belguechi

Cherrier

Abed

et al. 2011

2011 International Conference on Hand-Based Biometrics

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“…They reported that their approach showed a promise of fast and secure verification. [19] suggested a transformation-based biometric template protection scheme as an improvement of the BioHashing algorithm where the projection matrix was created by integrating the secret and the biometric data. Experiment conducted on two biometric modalities showed that the proposed technique is efficient.…”

Section: Related Workmentioning

confidence: 99%

A Fingerprint Template Protection Scheme Using Arnold Transform and Bio-hashing

Onifade¹,

Olayemi²,

Isinkaye³

2020

IJIGSP

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Fingerprint biometric is popularly used for protecting digital devices and applications. They are better and more reliable for authentication in comparison to the usual security tokens or password, which make them to be at the forefront of identity management systems. Though, they have several security benefits, there are several weaknesses of the fingerprint biometric recognition system. The greatest challenge of the fingerprint biometric system is theft or leakage of the template information. Also, each individual has limited and unique fingerprint which is permanent throughout their lifespan, hence, the compromise of the fingerprint biometric will cause a lifetime threat to the security and privacy of such an individual. Security and privacy risk of fingerprint biometric have previously been studied in the context of cryptosystem and cancelable biometric generation. However, these approaches do not obviously address the issue of revocability, diversity and irreversibility of fingerprint features to guard against the wrong use or theft of fingerprint biometric information. In this paper, we proposed a model that harnesses the strength of Arnold transform and Bio-hashing on fingerprint biometric features to overcome the limitations commonly encountered in sole fingerprint biometric approaches. In the experimental analysis, the result of irreversibility showed 0% False Acceptance Rate (FAR), performance showed maximum of 0.2% FAR and maximum of 0.8% False Rejection Rate (FRR) at different threshold values. Also, the result of renewability/revocability at SMDKAB SMKADKB and SMKBDKA showed that the protection did not match each other. Therefore, the performance of the proposed model was notable and the techniques could be efficiently and reliably used to enforce protection on biometric templates in establishments/organizations so that their information and processes could be secured.

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“…It should be infeasible to cross correlate two protected templates. Based on some of the early works [22], [4] which identified weak links in each subsystem of a generic authentication system, some papers considered the possible attacks in cancelable biometric systems (such as those presented in [9], [16], [25], [27]). We follow the Shannon's maxim ("The enemy knows the system"), we so assume that the impostor has all necessary information on the process used to generate the BioCode (feature generation method, BioCode size...).…”

Section: B Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing the Security of Transformation Based Biometric Template Protection Schemes

Ghammam

Barbier

Rosenberger

2018

2018 International Conference on Cyberworlds (CW)

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Template protection is a crucial issue in biometrics. Many algorithms have been proposed in the literature among secure computing approaches, crypto-biometric algorithm and feature transformation schemes. The BioHashing algorithm belongs to this last category and has very interesting properties. Among them, we can cite its genericity since it could be applied on any biometric modality, the possible cancelability of the generated BioCode and its efficiency when the secret is not stolen by an impostor. Its main drawback is its weakness face to a combined attack (zero effort with the stolen secret scenario). In this paper, we propose a transformation-based biometric template protection scheme as an improvement of the BioHashing algorithm where the projection matrix is generated by combining the secret and the biometric data. Experimental results on two biometric modalities, namely digital fingerprint and finger knuckle print images, show the benefits of the proposed method face to attacks while keeping a good efficiency.

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Soft biometrics in conjunction with optics based biohashing

Cited by 8 publications

References 21 publications

Evaluation of Cancelable Biometric Systems: Application to Finger-Knuckle-Prints

Evaluation of Cancelable Biometric Systems: Application to Finger-Knuckle-Prints

A Fingerprint Template Protection Scheme Using Arnold Transform and Bio-hashing

Enhancing the Security of Transformation Based Biometric Template Protection Schemes

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