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