Casper: Query Processing for Location Services without Compromising Privacy

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In this paper, the authors present a new privacy-aware query processing framework Capser in which mobile and stationary users can obtain snapshot and/or continuous location-based services without revealing their private location information. In particular, they propose a privacy-aware query processor embedded inside a location-based database server to deal with snapshot and continuous queries based on the knowledge of the user's cloaked location rather than the exact location. Their proposed privacy-aware query processor is completely independent of how they compute the user's cloaked location. In other words, any existing location anonymization algorithms that blur the user's private location into cloaked rectilinear areas can be employed to protect the user's location privacy.