DocumentCode :
725363
Title :
Privacy-Preserving Publication of Mobility Data with High Utility
Author :
Primault, Vincent ; Ben Mokhtar, Sonia ; Brunie, Lionel
Author_Institution :
Univ. de Lyon, Lyon, France
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
802
Lastpage :
803
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 two-fold. 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.
Keywords :
data privacy; mobile computing; mobile handsets; anonymization techniques; mobile phone operators; privacy threats; privacy-preserving mobility data publication; Accuracy; Data privacy; Databases; Distortion; Privacy; Publishing; Trajectory; data publication; location privacy; time distortion; trajectories swapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
Conference_Location :
Columbus, OH
ISSN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2015.117
Filename :
7164995
Link To Document :
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