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Privacy-preserving Publication of Mobility Data with High Utility

Authors :
Primault, Vincent
Mokhtar, Sonia Ben
Brunie, Lionel
Publication Year :
2015

Abstract

An increasing amount of mobility data is being collected every day by different means, e.g., by mobile phone operators. This data is sometimes published after the application of simple anonymization techniques, which might lead to severe privacy threats. We propose in this paper a new solution whose novelty is twofold. Firstly, we introduce an algorithm designed to hide places where a user stops during her journey (namely points of interest), by enforcing a constant speed along her trajectory. Secondly, we leverage places where users meet to take a chance to swap their trajectories and therefore confuse an attacker.<br />Comment: 2015 35th IEEE International Conference on Distributed Computed Systems

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1506.09074
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/ICDCS.2015.117