Fuzzy extractors for continuous distributions

Ileana Buhan; Jeroen Doumen; Pieter Hartel

Paper 2009/545

Fuzzy extractors for continuous distributions

Ileana Buhan, 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.

Metadata

Available format(s): PDF
Category: Foundations
Publication info: Published elsewhere. short version published in ASIACCS 2007
Keywords: information theory fuzzy extractors continuous distributions
Contact author(s): ileana buhan @ gmail com
History: 2009-11-10: received
Short URL: https://ia.cr/2009/545
License: CC BY

BibTeX

@misc{cryptoeprint:2009/545,
      author = {Ileana Buhan and Jeroen Doumen and Pieter Hartel},
      title = {Fuzzy extractors for continuous distributions},
      howpublished = {Cryptology ePrint Archive, Paper 2009/545},
      year = {2009},
      note = {\url{https://eprint.iacr.org/2009/545}},
      url = {https://eprint.iacr.org/2009/545}
}