Fuzzy extractors for continuous distributions

Authors:
Ileana Buhan;Jeroen Doumen;Pieter Hartel;Raymond Veldhuis
Affiliations:
University of Twente;University of Twente;University of Twente;University of Twente
Venue:
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
Year:
2007

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Abstract

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 amount of information that can be extracted from the source data. This information can be used a-priori to evaluate the potential of the biometric data in the context of a specific cryptographic application. We model the biometric data more naturally as a continuous distribution and we give a new definition for fuzzy extractors that works better for this type of data.