Enhance Biometric Database Privacy: Defining Privacy-Preserving Drawer Size Standard for the Setbase

Benjamin Justus 1 Frédéric Cuppens 2, 1 Nora Cuppens-Bouhlahia 2, 1 Julien Bringer 3 Hervé Chabanne 3 Olivier Cipiere 3
2 Lab-STICC_TB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01159831
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Submitted on : Thursday, March 16, 2017 - 9:20:14 AM
Last modification on : Thursday, October 17, 2019 - 12:36:50 PM
Long-term archiving on : Saturday, June 17, 2017 - 12:42:53 PM

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Benjamin Justus, Frédéric Cuppens, Nora Cuppens-Bouhlahia, Julien Bringer, Hervé Chabanne, et al.. Enhance Biometric Database Privacy: Defining Privacy-Preserving Drawer Size Standard for the Setbase. 27th Data and Applications Security and Privacy (DBSec), Jul 2013, Newark, NJ, United States. pp.274-281, ⟨10.1007/978-3-642-39256-6_19⟩. ⟨hal-01159831⟩

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