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Communication Dans Un Congrès Année : 2013

Define privacy-preserving setbase drawer size standard: A ∊-closeness perspective

Résumé

Shamir proposed the setbase approach as a means of improving security and privacy of the traditional biometric system. As a result of the limitation of the current setbase filling procedure, we demonstrate that there are potential privacy weaknesses due to non-default distributions on attributes inside the identity database. We introduce in this paper, the concept of ϵ-closeness as a general framework to describe quantitatively the distribution anomaly. As a consequence, we are able to formulate a privacy-preserving drawer size standard for the setbase that includes the non-default distribution cases.
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Dates et versions

hal-01162015 , version 1 (09-06-2015)

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Citer

Benjamin Justus, Frédéric Cuppens, Nora Cuppens-Bouhlahia, Julien Bringer, Hervé Chabanne, et al.. Define privacy-preserving setbase drawer size standard: A ∊-closeness perspective. PST 2013 : 11th International Conference on Privacy, Security and Trust, Jul 2013, Tarragona, Catalonia, Spain. pp.362 - 365, ⟨10.1109/PST.2013.6596090⟩. ⟨hal-01162015⟩
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