LANMAR: landmark routing for large scale wireless ad hoc networks with group mobility
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A peer-to-peer spatial cloaking algorithm for anonymous location-based service
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Anonymous Geo-Forwarding in MANETs through Location Cloaking
IEEE Transactions on Parallel and Distributed Systems
Casper*: Query processing for location services without compromising privacy
ACM Transactions on Database Systems (TODS)
Preserving privacy in location-based mobile social applications
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Louis, Lester and Pierre: three protocols for location privacy
PET'07 Proceedings of the 7th international conference on Privacy enhancing technologies
The PROBE Framework for the Personalized Cloaking of Private Locations
Transactions on Data Privacy
Fine-Grained Cloaking of Sensitive Positions in Location-Sharing Applications
IEEE Pervasive Computing
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There is a potential privacy breach when users access various location-based social applications on a mobile social network (MSN), e.g., sharing locations with friends. To preserve location privacy, one of the most common methods is to use a coarse or fake location instead of a user's exact location. However, most of these previous approaches only provide geometric strategies without considering the semantic context of the geographical locations. For example, if a cloaked region contains a part of a lake, where no boats are allowed, an adversary can easily prune the cloaked region to a smaller range covering a user's actual location. In this paper, we propose SALS, a semantics-aware location sharing framework based on cloaking zone for an MSN environment. By considering a user's social relations and activities which are available in an MSN environment, SALS does not assume any trustworthy entities, including strangers, friends or any third parties. As a solution, SALS enables users to cooperate with each other, in a Peer-to-Peer (P2P) way, to generate the cloaking zones, which will be used instead of the actual locations. Different from the previous cloaking techniques, SALS considers the semantic location which can influence the distribution probability of a user's locations. We also propose metrics for measuring the quality of the cloaking zone. The evaluation shows that our method can well defend the semantic-location attack.