{"title":"Mix zones: user privacy in location-aware services","authors":"A. Beresford, F. Stajano","doi":"10.1109/PERCOMW.2004.1276918","DOIUrl":null,"url":null,"abstract":"Privacy of personal location information is becoming an increasingly important issue. We refine a method, called the mix zone, developed to enhance user privacy in location-based services. We improve the mathematical model, examine and minimise computational complexity and develop a method of providing feedback to users.","PeriodicalId":262138,"journal":{"name":"IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"587","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2004.1276918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 587
Abstract
Privacy of personal location information is becoming an increasingly important issue. We refine a method, called the mix zone, developed to enhance user privacy in location-based services. We improve the mathematical model, examine and minimise computational complexity and develop a method of providing feedback to users.