Fuzzy extractors for continuous distributions

I.R. Buhan, J.M. Doumen, Pieter H. Hartel, Raymond N.J. Veldhuis

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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 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.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherCentrum voor Telematica en Informatie Technologie
    Number of pages15
    Publication statusPublished - 9 Oct 2006

    Publication series

    NameCTIT technical reports series
    No.06-72
    ISSN (Print)1381-3625

    Keywords

    • IR-59966
    • SCS-Cybersecurity
    • EWI-7693
    • METIS-237416
    • SCS-Safety

    Cite this

    Buhan, I. R., Doumen, J. M., Hartel, P. H., & Veldhuis, R. N. J. (2006). Fuzzy extractors for continuous distributions. (CTIT technical reports series; No. 06-72). Enschede: Centrum voor Telematica en Informatie Technologie.