Sanitizing microdata without leak: combining preventive and curative actions

Authors:
Tristan Allard;Benjamin Nguyen;Philippe Pucheral
Affiliations:
SMIS Project, INRIA Rocquencourt, France and PRiSM Laboratory, Versailles, France;SMIS Project, INRIA Rocquencourt, France and PRiSM Laboratory, Versailles, France;SMIS Project, INRIA Rocquencourt, France and PRiSM Laboratory, Versailles, France
Venue:
ISPEC'11 Proceedings of the 7th international conference on Information security practice and experience
Year:
2011

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Abstract

While most of the work done in Privacy-Preserving Data Publishing does the assumption of a trusted central publisher, this paper advocates a fully decentralized way of publishing anonymized datasets. It capitalizes on the emergence of more and more powerful and versatile Secure Portable Tokens raising new alternatives to manage and protect personal data. The proposed approach allows the delivery of sanitized datasets extracted from personal data hosted by a large population of Secure Portable Tokens. The central idea lies in distributing the trust among the data owners while deterring dishonest participants to cheat with the protocols. Deviant behaviors are deterred thanks to a combination of preventive and curative measures. Experimental results confirm the effectiveness of the solution.