Spatial generalization has been recently proposed as a technique for the anonymization of requests in location based services. This paper presents the results of an extensive experimental study, considering known generalization algorithms as well as new ones proposed by the authors.
A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation / S. Mascetti, C. Bettini - In: Proceedings, 2007 International Conference on Mobile Data ManagementNew york, NY : IEEE, 2007. - ISBN 1-4244-1241-2. - pp. 258-262 (( convegno International Workshop on Privacy-Aware Location-Based Mobile Services [10.1109/MDM.2007.54].
A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation
S. Mascetti;C. Bettini
2007
Abstract
Spatial generalization has been recently proposed as a technique for the anonymization of requests in location based services. This paper presents the results of an extensive experimental study, considering known generalization algorithms as well as new ones proposed by the authors.
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