|Riaz, Zohaib; Rothermel, Kurt: On the Privacy of Frequently Visited User Locations. |
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Technischer Bericht Informatik Nr. 2015/02.
11 Seiten, englisch.
|CR-Klassif.||K.4.1 (Computers and Society Public Policy Issues)|
C.2.4 (Distributed Systems)
|Keywords||Privacy concerns Location privacy Frequency Profile Visit frequency Frequent locations Semantic locations Location based services Mobility Model Machine Learning|
With the fast adoption of location-enabled devices, Location-based Applications (LBAs) are becoming increasingly popular. While LBAs enable highly useful concepts such as geo-social networking, their use raises privacy concerns as it involves sharing of location data with non-trusted third parties. In this respect, we propose to protect frequently visited semantic locations of users, e.g., a bar or a church, against inference from long-term monitoring of user location data. Such inference equates a privacy leak as it reveals users' personal interests to possibly malicious third parties.
To this end, we first present a study of a dataset of location check-ins to show the existence of this threat among users of LBAs. We then propose a method to protect visit-frequency of users to different locations by distributing their location data among multiple third-party Location Servers. This distribution not only serves to avoid a single point of failure in our system, it also allows the user to control which LBA accesses what information about them. We also describe a number of possible attacks against our frequency-protection approach and evaluate them on real-data from the check-ins dataset. Our results show that our approach can effectively avoid inference while supporting good quality-of-service for the LBAs.
|PDF (2759088 Bytes)|
|Abteilung(en)||Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme|
|Eingabedatum||1. Oktober 2015|