{"title":"Location Privacy Protection Scheme Based on Location Services","authors":"Chen Yang, Wei Yan","doi":"10.1145/3371676.3371695","DOIUrl":null,"url":null,"abstract":"Location-based services (LBS) in the mobile internet applications are very important and provide a great convenience. However, at the same time it brings the threat of privacy leak. For location services, a location privacy protection scheme is proposed, which includes location hiding algorithm and query privacy protection algorithm. Q-Tree storage ensures that anonymous location units are as dispersed as possible. The point of interest (POI) with higher query probability is selected as the query content of anonymous location unit, which protects the user's query privacy. At the same time, private information retrieval technology (PIR) is used to provide users with higher privacy and security protection. Finally, the effectiveness of the scheme is proved by privacy analysis and experimental results.","PeriodicalId":352443,"journal":{"name":"Proceedings of the 2019 9th International Conference on Communication and Network Security","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 9th International Conference on Communication and Network Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371676.3371695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Location-based services (LBS) in the mobile internet applications are very important and provide a great convenience. However, at the same time it brings the threat of privacy leak. For location services, a location privacy protection scheme is proposed, which includes location hiding algorithm and query privacy protection algorithm. Q-Tree storage ensures that anonymous location units are as dispersed as possible. The point of interest (POI) with higher query probability is selected as the query content of anonymous location unit, which protects the user's query privacy. At the same time, private information retrieval technology (PIR) is used to provide users with higher privacy and security protection. Finally, the effectiveness of the scheme is proved by privacy analysis and experimental results.