{"title":"A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation","authors":"S. Mascetti, C. Bettini","doi":"10.1109/MDM.2007.54","DOIUrl":null,"url":null,"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.","PeriodicalId":393767,"journal":{"name":"2007 International Conference on Mobile Data Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Mobile Data Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDM.2007.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47
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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