Skip to Main content Skip to Navigation
Journal articles

MetaP: Revisiting Privacy-Preserving Data Publishing using Secure Devices

Tristan Allard 1 Benjamin Nguyen 2, 3 Philippe Pucheral 2, 3
2 SMIS - Secured and Mobile Information Systems
PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8144
Abstract : The goal of Privacy-Preserving Data Publishing (PPDP) is to gen- erate a sanitized (i.e. harmless) view of sensitive personal data (e.g. a health survey), to be released to some agencies or simply the public. However, traditional PPDP practices all make the assumption that the process is run on a trusted central server. In this article, we argue that the trust assumption on the central server is far too strong. We propose MetAP, a generic fully distributed protocol, to execute various forms of PPDP algorithms on an asymmetric architecture composed of low power secure devices and a powerful but untrusted infrastructure. We show that this protocol is both correct and secure against honest-but-curious or malicious adversaries. Finally, we provide an experimental validation showing that this protocol can support PPDP processes scaling up to nation-wide surveys
Document type :
Journal articles
Complete list of metadata
Contributor : Benjamin Nguyen <>
Submitted on : Wednesday, January 22, 2014 - 11:58:12 AM
Last modification on : Monday, December 14, 2020 - 3:33:11 PM




Tristan Allard, Benjamin Nguyen, Philippe Pucheral. MetaP: Revisiting Privacy-Preserving Data Publishing using Secure Devices. Distributed and Parallel Databases, Springer, 2014, pp.1-55. ⟨10.1007/s10619-013-7122-x⟩. ⟨hal-00934586⟩



Record views