Location Privacy in Pervasive Computing
IEEE Pervasive Computing
PAD: privacy-area aware, dummy-based location privacy in mobile services
Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
A dummy-based anonymization method based on user trajectory with pauses
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Proceedings of the Third ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data
Location anonymization using real car trace data for location based services
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Recent mobile devices are mostly equipped with a GPS receiver. This trend has arisen a variety of location based services (LBSs) which enable users to search local information of their current locations. To use LBSs, a user needs to send his/her location information to a service provider. Users' location information is inherently private, since it can reveal the critical information. In this paper, we propose a method to protect the user's location privacy by sending the user's location with dummy locations, which are determined based on the user's current location. We conduct an experiment to evaluate the effectiveness of our proposed method using real users' trajectories on a real map.