{"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}
引用次数: 5
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.