Protecting Location Privacy Through Path Confusion
SECURECOMM '05 Proceedings of the First International Conference on Security and Privacy for Emerging Areas in Communications Networks
Mobile Networks and Applications - Special issue: Wireless mobile wireless applications and services on WLAN hotspots
Enhancing Security and Privacy in Traffic-Monitoring Systems
IEEE Pervasive Computing
Preserving location privacy in wireless lans
Proceedings of the 5th international conference on Mobile systems, applications and services
Preserving privacy in gps traces via uncertainty-aware path cloaking
Proceedings of the 14th ACM conference on Computer and communications security
Providing location privacy in assisted living environments
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Protecting Moving Trajectories with Dummies
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
Privacy for real-time location-based services
SIGSPATIAL Special
Privacy in location-based services: a system architecture perspective
SIGSPATIAL Special
On non-cooperative location privacy: a game-theoretic analysis
Proceedings of the 16th ACM conference on Computer and communications security
Protecting location privacy against spatial inferences: the PROBE approach
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Preserving privacy in location-based mobile social applications
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Inference attacks on location tracks
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Error analysis of range-based localisation algorithms in wireless sensor networks
International Journal of Sensor Networks
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Location privacy in Mobile Social Networks (MSNs) has generated significant interest in recent years, with many proposed methods to address the problem. Commercial solutions to this problem have suggested designing better ways for users to determine when to report their locations, while academic researchers have proposed solutions that involve deploying trusted third party servers to protect user privacy. In this paper, we showed that simply omitting location updates does not provide adequate privacy protections, especially in situations where the friendship relationships between users are known. We proposed a fake location update algorithm that allows a user to protect his privacy. A key feature of our approach is that it can be adopted without the use of any third party services, making them more practical. We evaluate our approach using extensive simulation experiments.