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Towards a Safe Realization of Privacy-Preserving Data Publishing Mechanisms

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3 Author(s)
Allard, T. ; PRiSM Lab., Univ. of Versailles, Versailles, France ; Nguyen, B. ; Pucheral, P.

This article addresses the issue of adapting the traditional model of Privacy-Preserving Data Publishing (PPDP) to an environment composed of a large number of tamper-resistant Secure Portable Tokens (SPTs) containing private personal data. Our model assumes that the SPTs seldom connect to a highly available but untrusted infrastructure. We illustrate the problem by studying the feasability of the simple generalization privacy mechanism to enforce k-anonymity.

Published in:

Mobile Data Management (MDM), 2011 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

6-9 June 2011