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