Supporting anonymous location queries in mobile environments with privacygrid

By Bhuvan Bamba, Ling Liu, Péter Pesti, Ting Wang. The Web Conference, 2008

493 citations recorded by the source corpus.

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Computing with Spatial Trajectories (2011, methodology): “A variant of R-tree, called R*-tree [2], has been developed to minimize node access by reducing overlapping of MBBs.”
Optimal Geo-Indistinguishable Mechanisms for Location Privacy (2014, methodology): “A common technique for this purpose is cloaking [28, 29, 30, 26], which consists in blurring the user’s location by reporting a region to the service provider.”
Data and Structural k-Anonymity in Social Networks (2009, background): “Although most of the privacy work has been done for healthcare data (usually in microdata form) mainly due to the Health Insurance Portability and Accountability Act regulation [11], privacy concerns have also been raised in other fields, where data usually takes a more complex form, such as locatio”
Achieving Efficient Query Privacy for Location Based Services (2010, background): “One techn ique is quad-tree mapping [23], but it has the disadvantage (from its use in Casper [31]) of formin g a unnecessarily large cloaking region which can impair performance [5].”