Fuzzy extractors for continuous distributions

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    50 Citations (Scopus)

    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.
    Original languageUndefined
    Title of host publicationProceedings of the 2nd ACM Symposium on Information, Computer and Communications Security (ASIACCS)
    EditorsR. Deng, P. Samarati
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages353-355
    Number of pages3
    ISBN (Print)1-59593-574-6
    DOIs
    Publication statusPublished - Mar 2007
    Event2nd ACM Symposium on Information, Computer and Communications Security, ASIACCS 2007 - Singapore, Singapore
    Duration: 20 Mar 200722 Mar 2007
    Conference number: 2

    Publication series

    Name
    Number2

    Conference

    Conference2nd ACM Symposium on Information, Computer and Communications Security, ASIACCS 2007
    Abbreviated titleASIACCS
    CountrySingapore
    CitySingapore
    Period20/03/0722/03/07

    Keywords

    • EWI-9642
    • SCS-Safety
    • IR-59970
    • METIS-241571
    • SCS-Cybersecurity

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