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PAMPAS: Collecte participative respectueuse de la vie privée basée sur des mobiles securisés

Dai Hai Ton That 1 Iulian Sandu-Popa 2, 1 Karine Zeitouni 1 Cristian Borcea 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 : Mobile participatory sensing could be used in many applications such as vehicular traffic monitoring, pollution tracking, or even health surveying. However, its success depends on finding a solution for querying large numbers of users which protects user location privacy and works in real-time. This paper presents PAMPAS, a privacy-aware mobile distributed system for efficient data aggregation in mobile participatory sensing. In PAMPAS, mobile devices enhanced with secure hardware, called secure probes, perform distributed query processing, while preventing users from accessing other users' data. Secure probes exchange data in encrypted form with help from a supporting server infrastructure. PAMPAS uses two efficient, parallel, and privacy-aware protocols for location-based aggregation and adaptive spatial partitioning of secure probes. Our experimental results and security analysis demonstrate that these protocols are able to collect, aggregate and share statistics or derived data in real-time, without any privacy leakage.
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Conference papers
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Contributor : Iulian Sandu Popa Connect in order to contact the contributor
Submitted on : Wednesday, July 15, 2015 - 3:00:38 PM
Last modification on : Friday, November 18, 2022 - 9:27:50 AM


  • HAL Id : hal-01176500, version 1



Dai Hai Ton That, Iulian Sandu-Popa, Karine Zeitouni, Cristian Borcea. PAMPAS: Collecte participative respectueuse de la vie privée basée sur des mobiles securisés. 31èmes journées Bases de Données Avancées (BDA '15), 2015, Île de Porquerolles, France. ⟨hal-01176500⟩



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