{"title":"An adaptive spatial cloaking method for privacy protection in location-based service","authors":"Xu Zhang, Gyoungbae Kim, Hae-Young Bae","doi":"10.1109/ICTC.2014.6983186","DOIUrl":null,"url":null,"abstract":"Location privacy has been a serious concern for mobile users who use location-based services. However, existing cloaking methods suffer from computation and communication cost due to the large cloaking area. In this paper, we propose an adaptive spatial cloaking method based on the semantic locations to protect users' privacy. The cloaking region is generated in an asymmetric way and can obtain a reasonable cloaking size. The performance exhibits that our proposed method renders good performance in efficiency and scalability by improving computation and communication overhead.","PeriodicalId":299228,"journal":{"name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2014.6983186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Location privacy has been a serious concern for mobile users who use location-based services. However, existing cloaking methods suffer from computation and communication cost due to the large cloaking area. In this paper, we propose an adaptive spatial cloaking method based on the semantic locations to protect users' privacy. The cloaking region is generated in an asymmetric way and can obtain a reasonable cloaking size. The performance exhibits that our proposed method renders good performance in efficiency and scalability by improving computation and communication overhead.