Privacy-Aware Mobile Location-Based Systems

Privacy in location-based systems is a major concern, since many mobile phones have a GPS sensor that can report location within 10 meters of accuracy. The contributions of this paper are in three folds. First, we examine privacy issues in snapshot queries, and present our work and results in this area. The proposed method can guarantee that all queries are protected, while previously proposed algorithms only achieve a low success rate in some situations. Next, we discuss continuous queries and illustrate that current snapshot solutions cannot be applied to continuous queries. Then, we present results for our robust models for continuous queries. Finally, we show evaluation results when we add another dimension to privacy in location based systems, referred to as transportation mode homogeneity.