Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Location Privacy in Mobile Systems: A Personalized Anonymization Model
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Inference attacks on location tracks
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
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In this paper we describe a sighting blurring algorithm for use by a trusted middleware infrastructure, which is part of an architecture that supports the operation of Location Based Services (LBSs) over the Internet. This infrastructure can only obtain sightings for the users who are directly involved in a current invocation of an LBS. Therefore, our sighting blurring algorithm is designed to be dependent on only the sightings of these users. Our sighting blurring algorithm offers these users increased privacy by performing spatial blurring on the location components of their sightings. It does not perform temporal blurring, because we believe that this reduces an LBS's ability to offer a useful service. Instead, our sighting blurring algorithm introduces a new parameter that specifies the frequency with which sightings are released by the infrastructure for a particular user. This frequency parameter is a function of the size of the location component.