Cryptology ePrint Archive: Report 2009/545
Fuzzy extractors for continuous distributions
Ileana Buhan and Jeroen Doumen and Pieter Hartel
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 distinguishing
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.
Category / Keywords: foundations / information theory, fuzzy extractors, continuous distributions
Publication Info: short version published in ASIACCS 2007
Date: received 6 Nov 2009
Contact author: ileana buhan at gmail com
Available format(s): PDF | BibTeX Citation
Version: 20091110:020756 (All versions of this report)
Short URL: ia.cr/2009/545
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