Enhance biometric database privacy: defining privacy-preserving drawer size standard for the setbase

  • Authors:

  • Benjamin Justus;Frédéric Cuppens;Nora Cuppens-Boulahia;Julien Bringer;Hervé Chabanne;Olivier Cipiere

  • Affiliations:

  • Lab-STICC, Télécom Bretagne, Cesson Sévigné, France;Lab-STICC, Télécom Bretagne, Cesson Sévigné, France;Lab-STICC, Télécom Bretagne, Cesson Sévigné, France;Morpho, Paris, France;Morpho, Paris, France;Morpho, Paris, France

  • Venue:
  • DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
  • Year:
  • 2013

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Abstract

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.