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Inference attacks through mobility Markov chains

  • Sébastien Gambs
  • , Marc-Olivier Killijian
  • , Miguel Nuñez del Prado Cortéz

Research output: Contribution to conferencePaper

Abstract

In this paper, we adress the modelization by anadversary of an individual mobility. The mobility model learntfrom the individual record of position is represented as a Markovchain. We describe in the paper our techniques for building suchmobility Markov chains and report on some case studies. Thesecases studies are based on real user’s data we captured. Theyare analyzed to illustrate what can be learnt from these mobilitymodels.
Original languageEnglish
Number of pages6
StatePublished - 2011
EventAtelier Protection de la Vie Privée / Géolocalisation et Vie Privée - Soreze, France
Duration: 20 Nov 201122 Nov 2020

Conference

ConferenceAtelier Protection de la Vie Privée / Géolocalisation et Vie Privée
Abbreviated titleAPVP
Country/TerritoryFrance
CitySoreze
Period20/11/1122/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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