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 language | English |
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Number of pages | 6 |
State | Published - 2011 |
Event | Atelier Protection de la Vie Privée / Géolocalisation et Vie Privée - Soreze, France Duration: 20 Nov 2011 → 22 Nov 2020 |
Conference
Conference | Atelier Protection de la Vie Privée / Géolocalisation et Vie Privée |
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Abbreviated title | APVP |
Country/Territory | France |
City | Soreze |
Period | 20/11/11 → 22/11/20 |