A Novel Approach to Enhance the Privacy of LBS Users

P. Ameena, Md. Asim


We also present a detailed comparative analysis of these metrics based on a set of criteria for location privacy measurement. Finally, we propose a novel and effective metric for measuring location privacy, called the distortion-based metric, which satisfies these criteria for privacy measurement and is capable of capturing the mobile users’ location privacy more precisely than the existing metrics. Our metric estimates location privacy as the expected distortion in the reconstructed users’ trajectories by an adversary.


Mobile Networks; Location-based Services; Location Privacy; Bayesian Inference Attacks; Epidemic Models

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Copyright (c) 2015 P. Ameena, Md. Asim

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