Bayesian Analysis of Privacy Attacks on GPS Trajectories

Sirio Legramanti

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arXiv · 1806.08998

Bayesian Analysis of Privacy Attacks on GPS Trajectories

Sirio Legramanti

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Abstract

The success of applications for sharing GPS trajectories raises serious privacy concerns, in particular about users' home addresses. In this paper we show that a Bayesian approach is natural and effective for a rigorous analysis of home-identification attacks and their countermeasures, in terms of privacy. We focus on a family of countermeasures named "privacy-region strategies", consisting in publishing each trajectory from the first exit to the last entrance from/into a privacy region. Their performance is studied through simulations on Brownian motions.

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Sirio Legramanti. 2018-06-23. Bayesian Analysis of Privacy Attacks on GPS Trajectories. https://arxiv.org/abs/1806.08998

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