Hossein Ghasemi, A. Haghighat, M. Razazi, Saeed Sharifian
{"title":"Pervasive privacy: A practical context-aware system to preserve privacy on android smartphones","authors":"Hossein Ghasemi, A. Haghighat, M. Razazi, Saeed Sharifian","doi":"10.1109/IKT.2015.7288781","DOIUrl":null,"url":null,"abstract":"Advent of instant messaging systems has increased the concerns about privacy violation. Although, smartphones contain a lot of personal information, their operating systems have not provided a complete compliance with privacy preserving principles. As a result, providing a smart guard for private information on smartphones is required. The proposed system should be able to detect which information could be shared with other users and warn in the case of unintended sensitive information leakages, as well. In this paper, we propose a context-aware real-time system to preserve privacy on android smartphones with mentioned properties using information flow tracking techniques. The proposed system detects privacy violation in Android phones based on users relations in a social network created by the system itself.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th Conference on Information and Knowledge Technology (IKT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IKT.2015.7288781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Advent of instant messaging systems has increased the concerns about privacy violation. Although, smartphones contain a lot of personal information, their operating systems have not provided a complete compliance with privacy preserving principles. As a result, providing a smart guard for private information on smartphones is required. The proposed system should be able to detect which information could be shared with other users and warn in the case of unintended sensitive information leakages, as well. In this paper, we propose a context-aware real-time system to preserve privacy on android smartphones with mentioned properties using information flow tracking techniques. The proposed system detects privacy violation in Android phones based on users relations in a social network created by the system itself.