On the Performance of Helper Data Template Protection Schemes

Kelkboom, Emile

doi:10.3990/1.9789036530743

Cited by 3 publications

(3 citation statements)

References 94 publications

(342 reference statements)

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“…Although the lower bound of indistinguishability given by Simoen is derived from uniformly independent features, the distinguishability attack is general and is applicable in many fuzzy commitment schemes. Kelkboom analyzed the performance of the decodability attack and evaluated it in a fingerprint fuzzy commitment system [Kel10]. For uniform and independent biometric features, he showed that FAR of the decodability attack is 2 L S larger than the FAR of the original fuzzy commitment system.…”

Section: A Generalized Framework For Security and Privacy Assessmentmentioning

confidence: 99%

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Privacy and Security Assessment of Biometric Template Protection

Zhou¹

2012

Itit

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Throughout the ages all those who have been highly successful in great ventures and in the pursuit of great learning must have successfully undergone three stages:"Last night the west wind shriveled the green-clad trees; alone I climb the high tower, to gaze at the road stretching to the horizon" represents the first stage."I have no regrets as my girdle grows looser on my waist; with everlasting love I pine for you" represents the second stage."I have sought her in the crowd a hundred, a thousand times; suddenly turning back my head, I see her under the dimming lanterns" represents the third stage. Erklärung zur DissertationHiermit versichere ich die vorliegende Dissertation selbständig nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen.Darmstadt, den 4. August 2011 Xuebing Zhou AbstractBiometrics enables convenient authentication based on a person's physical or behavioral characteristics. In comparison with knowledge-or token-based methods, it links an identity directly to its owner. Furthermore, it can not be forgotten or handed over easily. As biometric techniques have become more and more efficient and accurate, they are widely used in numerous areas. Among the most common application areas are physical and logical access controls, border control, authentication in banking applications and biometric identification in forensics.In this growing field of biometric applications, concerns about privacy and security cannot be neglected. The advantages of biometrics can revert to the opposite easily. The potential misuse of biometric information is not limited to the endangerment of user privacy, since biometric data potentially contain sensitive information like gender, race, state of health, etc. Different applications can be linked through unique biometric data. Additionally, identity theft is a severe threat to identity management, if revocation and reissuing of biometric references are practically impossible. Therefore, template protection techniques are developed to overcome these drawbacks and limitations of biometrics. Their advantage is the creation of multiple secure references from biometric data. These secure references are supposed to be unlinkable and non-invertible in order to achieve the desired level of security and to fulfill privacy requirements.The existing algorithms can be categorized into transformation-based approaches and biometric cryptosystems. The transformation-based approaches deploy different transformation or randomization functions, while the biometric cryptosystems construct secrets from biometric data. The integration in biometric systems is commonly accepted in research and their feasibility according to the recognition performance is proved. Despite of the success of biometric template protection techniques, their security and privacy properties are investigated only limitedly.This predomin...

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Section: A Generalized Framework For Security and Privacy Assessmentmentioning

confidence: 99%

“…The bit-permutation process proposed in [Kel10] can enhance indistinguishability, however, it can also cause high privacy amplification. If the permutation function Π is known, its unique inverse function Π −1 can be calculated and…”

Section: A Generalized Framework For Security and Privacy Assessmentmentioning

confidence: 99%

Privacy and Security Assessment of Biometric Template Protection

Zhou¹

2012

Itit

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“…In this paper we concentrate on the assessment of security and privacy. The related unlinkability analysis of fuzzy commitment can be found in [16,12].…”

Section: Evaluation Criteriamentioning

confidence: 99%

Quantifying privacy and security of biometric fuzzy commitment

Zhou

Kuijper

Veldhuis

et al. 2011

2011 International Joint Conference on Biometrics (IJCB)

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On the (Non-)Reusability of Fuzzy Sketches and Extractors and Security in the Computational Setting

Blanton

Aliasgari

2011

Proceedings of the International Conference on Security and Cryptography

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Secure sketches and fuzzy extractors enable the use of biometric data in cryptographic applications by correcting errors in noisy biometric readings and producing cryptographic materials suitable for authentication, encryption, and other purposes. Such constructions work by producing a public sketch, which is later used to reproduce the original biometric and all derived information exactly from a noisy biometric reading. It has been previously shown that release of multiple sketches associated with a single biometric presents security problems for certain constructions. We continue the analysis to demonstrate that all other constructions in the literature are also prone to similar problems and cannot be safely reused. To mitigate the problem, we propose for each user to store one short secret string for all possible uses of her biometric, and show that simple constructions in the computational setting have numerous advantageous security and usability properties under standard hardness assumptions. Our constructions are generic in that they can be used with any existing secure sketch as a black box.

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On the Performance of Helper Data Template Protection Schemes

Cited by 3 publications

References 94 publications

Privacy and Security Assessment of Biometric Template Protection

Privacy and Security Assessment of Biometric Template Protection

Quantifying privacy and security of biometric fuzzy commitment

On the (Non-)Reusability of Fuzzy Sketches and Extractors and Security in the Computational Setting

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