SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services

By Man Lung Yiu, Christian S. Jensen, Xuegang Huang, Hua Lu. IEEE International Conference on Data Engineering, 2008

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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]).”
Achieving Efficient Query Privacy for Location Based Services (2010, background): “The taxonomy, in increasing order of privacy protection an d decreasing order of performance, is: two-tier spatial transformations (e.g., SpaceTwist [ 39 ]), three-tier spatia l transformations (e.g., Casper [29]) and cryptographic transformations (e.g., the PIR approach from [18]).”
Computing with Spatial Trajectories (2011, background): “The precision of motion sensors deteriorates with the distance from their own location and, moreover, typically the localization of a tracked object is done via trillateration, without guaranteeing that every participating node is reliable [62, 73, 175, 179].”