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9642 Fuzzy extractors for continuous distributions

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Buhan, I.R. and Doumen, J.M. and Hartel, P.H. and Veldhuis, R.N.J. (2007) Fuzzy extractors for continuous distributions. In: Proceedings of the 2nd ACM Symposium on Information, Computer and Communications Security (ASIACCS), 20-22 March 2007, Singapore. pp. 353-355. ACM. ISBN 1-59593-574-6

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Official URL: http://doi.acm.org/10.1145/1229285.1229325

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.

Item Type:	Conference or Workshop Paper (Extended Abstract, Talk)
Research Group:	EWI-DIES: Distributed and Embedded Security, EWI-SAS: Signals and Systems
Research Program:	CTIT-ISTRICE: Integrated Security and Privacy in a Networked World, UT-CST: Crime Science Twente
Research Project:	Secure Grip
ID Code:	9642
Status:	Published
Deposited On:	17 April 2007
Refereed:	Yes
International:	Yes
More Information:	statistics metis

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