2011 International Joint Conference on Biometrics (IJCB) 2011
DOI: 10.1109/ijcb.2011.6117543
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Quantifying privacy and security of biometric fuzzy commitment

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Cited by 36 publications
(23 citation statements)
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“…The security of the proposed biometric template protection system can be evaluated by estimating the conditional entropy H(b|v), which measures the uncertainty about the secret message b once the code-offset v has been made publicly available [22]. On the other hand, the privacy of the proposed biometric template protection system can be evaluated by estimating the conditional entropy H(x|v).…”
Section: Security Analysismentioning
confidence: 99%
“…The security of the proposed biometric template protection system can be evaluated by estimating the conditional entropy H(b|v), which measures the uncertainty about the secret message b once the code-offset v has been made publicly available [22]. On the other hand, the privacy of the proposed biometric template protection system can be evaluated by estimating the conditional entropy H(x|v).…”
Section: Security Analysismentioning
confidence: 99%
“…[8]. In [21,20], it is shown that dependency of binary features can reduce the security of fuzzy commitment significantly in practice.…”
Section: Introductionmentioning
confidence: 99%
“…While analysis with respect to irreversibility and unlinkability is rarely done, some quantities to measure the security of template protection systems have been suggested, e.g. key entropy [56], maximum key size [57], or information leakage of stored helper data [58,59]. These analysis need to be adapted and extended in order to establish a generic methodology of measuring the security of multi-biometric template protection systems.…”
Section: System Securitymentioning
confidence: 99%