Chen Di, S. Xiaodong, Ge Hailong, Li Hao, Zhou Shilei
{"title":"SPOIL: Practical location privacy for location based services","authors":"Chen Di, S. Xiaodong, Ge Hailong, Li Hao, Zhou Shilei","doi":"10.1109/ICCT.2017.8359701","DOIUrl":null,"url":null,"abstract":"This paper presents SPOIL (Shifted POI List), a new method to achieve location privacy for map services on smartphones. Using SPOIL, users can query routes from POI (Point of Interests) A to POI B, while not revealing the locations of A and B to the map server. Different from previous works, SPOIL is transparent to existing map services, assume no trusted third party, and more efficient for smartphones. The basic idea is simple: the client (i.e., smartphone) shifts user-intended POIs to some neighboring POIs instead, and query the map server using the shifted POIs. By carefully selecting places for shifting, we ensure: (1) privacy: on observing the route query, it is difficult for an adversary to identify the user-intended endpoints. (2) usability: the returned route is very similar to the intended one, thus giving useful directions for the user; To make SPOIL efficient for smartphones, we let clients retrieve candidate places for shifting from an additional server, instead of storing all the places and computing nearest ones locally. We implement SPOIL as an Android application, and evaluate it with real query traces. Experimental results show that SPOIL strikes a good balance among privacy, usability and efficiency.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"324 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents SPOIL (Shifted POI List), a new method to achieve location privacy for map services on smartphones. Using SPOIL, users can query routes from POI (Point of Interests) A to POI B, while not revealing the locations of A and B to the map server. Different from previous works, SPOIL is transparent to existing map services, assume no trusted third party, and more efficient for smartphones. The basic idea is simple: the client (i.e., smartphone) shifts user-intended POIs to some neighboring POIs instead, and query the map server using the shifted POIs. By carefully selecting places for shifting, we ensure: (1) privacy: on observing the route query, it is difficult for an adversary to identify the user-intended endpoints. (2) usability: the returned route is very similar to the intended one, thus giving useful directions for the user; To make SPOIL efficient for smartphones, we let clients retrieve candidate places for shifting from an additional server, instead of storing all the places and computing nearest ones locally. We implement SPOIL as an Android application, and evaluate it with real query traces. Experimental results show that SPOIL strikes a good balance among privacy, usability and efficiency.
本文提出了一种实现智能手机地图服务位置隐私的新方法——shiftpoi List (SPOIL)。使用SPOIL,用户可以查询从POI(兴趣点)A到POI B的路线,而不会向地图服务器显示A和B的位置。与之前的作品不同,SPOIL对现有的地图服务是透明的,假设没有可信的第三方,对智能手机更高效。基本思想很简单:客户端(即智能手机)将用户预期的poi转移到一些邻近的poi,并使用转移的poi查询地图服务器。通过仔细选择移动的位置,我们确保:(1)隐私:在观察路由查询时,攻击者很难识别用户预期的端点。(2)可用性:返回的路径与预期的路径非常相似,从而为用户提供有用的方向;为了使智能手机的SPOIL更高效,我们让客户端检索候选位置以便从另一个服务器转移,而不是存储所有位置并在本地计算最近的位置。我们将SPOIL实现为Android应用程序,并使用真实的查询跟踪对其进行评估。实验结果表明,该算法在隐私性、可用性和效率之间取得了很好的平衡。