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Fuzzy extractors (Dodis et al., Eurocrypt 2004) convert repeated noisy readings of a high-entropy source into the same uniformly distributed key. The ideal functionality of a fuzzy extractor outputs t...
A fuzzy extractor (FE), proposed for deriving cryptographic keys from biometric data, enables reproducible generation of high-quality randomness from noisy inputs having sufficient min-entropy. FEs re...
Fuzzy extractors have been proposed in 2004 by Dodis et al. as a secure way to generate cryptographic keys from noisy sources. Originally, biometrics were the main motivation for fuzzy extractors but ...
A Fuzzy Extractor (Dodis et al., Eurocrypt 2004) is a two-step protocol that turns a noisy secret into a uniformly distributed key R. To eliminate noise, the generation procedure takes as inputs an en...
Fuzzy extractors (Dodis et al., Eurocrypt 2004) convert repeated noisy readings of a secret into the same uniformly distributed key. To eliminate noise, they require an initial enrollment phase that ...
Fuller et al. (Asiacrypt 2013) studied on computational fuzzy extractors, and showed, as a negative result, that the existence of a computational “secure sketch” implies the existence of an informat...
In recent years Physically Unclonable Functions (PUFs) have been proposed as a promising building block for security related scenarios like key storage and authentication. PUFs are physical systems an...
We describe a method of cryptographically-secure key extraction from a noisy biometric source. The computational security of our method can be clearly argued through hardness of Learning Parity With N...
Fuzzy extractors (Dodis et al., Eurocrypt 2004) convert repeated noisy readings of a high-entropy secret into the same uniformly distributed key. A minimum condition for the security of the key is th...
Fuzzy extractors derive strong keys from noisy sources. Their security is defined information- theoretically, which limits the length of the derived key, sometimes making it too short to be useful. We...
Consider two parties holding samples from correlated distributions W and W', respectively, that are within distance t of each other in some metric space. These parties wish to agree on a uniformly dis...
We show that there is a direct relation between the maximum length of the keys extracted from biometric data and the error rates of the biometric system. The length of the bio-key depends on the amo...
Consider an abstract storage device (G) that can hold a single element x from a fixed, publicly known finite group G. Storage is private in the sense that an adversary does not have read access to ...
We provide formal definitions and efficient secure techniques for turning noisy information into keys usable for any cryptographic application, and, in particular, • reliably and secur...
We show that a number of recent definitions and constructions of fuzzy extractors are not adequate for multiple uses of the same fuzzy secret—a major shortcoming in the case of biometric application...

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