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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Enhance Biometric Database Privacy: Defining Privacy-Preserving Drawer Size Standard for the Setbase
verfasst von : Benjamin Justus, Frédéric Cuppens, Nora Cuppens-Boulahia, Julien Bringer, Hervé Chabanne, Olivier Cipiere
Erschienen in: Data and Applications Security and Privacy XXVII
Verlag: Springer Berlin Heidelberg
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Shamir proposed the setbase approach as a means of improving security and privacy of the traditional biometric system. In this paper, we propose privacy-preserving drawer size standards for the biometric setbase. The proposal incorporates database privacy metrics such as
k
-anonymity and
l
-diversity into the definition of privacy-preserving drawer size standard for the biometric setbase. We also empirically evaluate the system reliability of the prototype setbase for the purpose of studying the trade-off values between the level of privacy protection and the level of system security.