Blind Evaluation of Nearest Neighbor Queries Using Space Transformation to Preserve Location Privacy

By Ali Khoshgozaran, Cyrus Shahabi. International Symposium on Spatial and Temporal Databases, 2007

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Geo-indistinguishability: differential privacy for location-based systems (2012, background): “can be mapped back to spatial information only by the user [24, 20].”
SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services (2008, methodology): “Since the accuracies of SHB and DHB are unacceptable for the real-world data, we exclude them from subsequent experiments.”
The new Casper: query processing for location services without compromising privacy (2006, background): “, [Cheng et al. 2006; Ghinita et al. 2008; Kalnis et al. 2007; Khoshgozaran and Shahabi 2007; Hu and Lee 2006; Mokbel et al. 2006; Yiu et al. 2008]).”
Secure kNN computation on encrypted databases (2009, background): “In particular, they choose a common encryption scheme.”
Computing with Spatial Trajectories (2011, background): “In order to overcome these problems, a nonlinear function can be modeled to accurately capture its movement in the recent past [32].”