{"title":"一种基于WiFi指纹定位的轻量级位置隐私保护方案","authors":"Hong Li, Yunhua He, Xiuzhen Cheng, Limin Sun","doi":"10.1109/IIKI.2016.41","DOIUrl":null,"url":null,"abstract":"Although regarded as a promising approach for indoor localization, WiFi fingerprint-based localization can lead to potential location privacy violations. In this work, we study the location privacy issues of WiFi fingerprint-based localization and propose a lightweight location privacy-preserving scheme that does not rely on any cryptographic primitive as the existing work does. In our scheme, a to-be-localized user sends the measured signal strength values and other k-1 dummy signal strength values to the service provider who accordingly replies with k locations. The service provider cannot distinguish the user's location from the other k-1 dummy locations. Compared with the existing work, the computational and communication overhead of the proposed scheme are much lower.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"766 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Lightweight Location Privacy-Preserving Scheme for WiFi Fingerprint-Based Localization\",\"authors\":\"Hong Li, Yunhua He, Xiuzhen Cheng, Limin Sun\",\"doi\":\"10.1109/IIKI.2016.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although regarded as a promising approach for indoor localization, WiFi fingerprint-based localization can lead to potential location privacy violations. In this work, we study the location privacy issues of WiFi fingerprint-based localization and propose a lightweight location privacy-preserving scheme that does not rely on any cryptographic primitive as the existing work does. In our scheme, a to-be-localized user sends the measured signal strength values and other k-1 dummy signal strength values to the service provider who accordingly replies with k locations. The service provider cannot distinguish the user's location from the other k-1 dummy locations. Compared with the existing work, the computational and communication overhead of the proposed scheme are much lower.\",\"PeriodicalId\":371106,\"journal\":{\"name\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"volume\":\"766 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIKI.2016.41\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIKI.2016.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Lightweight Location Privacy-Preserving Scheme for WiFi Fingerprint-Based Localization
Although regarded as a promising approach for indoor localization, WiFi fingerprint-based localization can lead to potential location privacy violations. In this work, we study the location privacy issues of WiFi fingerprint-based localization and propose a lightweight location privacy-preserving scheme that does not rely on any cryptographic primitive as the existing work does. In our scheme, a to-be-localized user sends the measured signal strength values and other k-1 dummy signal strength values to the service provider who accordingly replies with k locations. The service provider cannot distinguish the user's location from the other k-1 dummy locations. Compared with the existing work, the computational and communication overhead of the proposed scheme are much lower.