混合区域:位置感知服务中的用户隐私

IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second Pub Date : 2004-03-14 DOI:10.1109/PERCOMW.2004.1276918

A. Beresford, F. Stajano

{"title":"混合区域:位置感知服务中的用户隐私","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":"{\"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}","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

摘要

个人位置信息的隐私成为一个越来越重要的问题。我们改进了一种叫做混合区(mix zone)的方法，该方法是为了增强基于位置的服务的用户隐私而开发的。我们改进数学模型，检查和最小化计算复杂性，并开发一种向用户提供反馈的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Mix zones: user privacy in location-aware services

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second

自引率

0.00%

发文量