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Practically preserving and evaluating location privacy

Vincent Primault 1
1 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In the past decades, the usage of GPS-enabled smartphones has dramatically risen. However, all these usages do not come without privacy threats. Indeed, location data that users are sending to these services can be used to infer sensitive knowledge about them, such as where they live or where they work. This is were protection mechanisms come into play, whose goal is to put users back in control of their privacy. We start by surveying existing protection mechanisms and metrics used to evaluate them. This first analysis highlights a particularly sensitive information, namely the points of interest. These are all the places where users use to spend most of their time. This leads us towards building a new protection mechanism, PROMESSE, whose main goal is to hide these points of interest. Protection mechanisms tend to be configured by parameters, which highly impact their effectiveness in terms of privacy and utility. We propose ALP, a solution to help users to configure their protection mechanisms from a set of objectives they specified. Finally, we introduce Accio, which is a software encompassing most of our work. Its goal is to allow to easily launch location privacy experiments and enforce their reproducibility.
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Submitted on : Thursday, January 31, 2019 - 10:04:29 AM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM


  • HAL Id : tel-01806701, version 2


Vincent Primault. Practically preserving and evaluating location privacy. Mobile Computing. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEI017⟩. ⟨tel-01806701v2⟩



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