{"title":"Prihook: Differentiated context-aware hook placement for different owners' smartphones","authors":"Chen Tian, Yazhe Wang, Peng Liu, Yu Wang, Ruirui Dai, Anyuan Zhou, Zhen Xu","doi":"10.1109/TrustCom50675.2020.00087","DOIUrl":null,"url":null,"abstract":"A context-aware hook is a piece of code. It checks context-aware user privacy policy before some sensitive operations happen. We propose Prihook to address specific context-aware user privacy concerns through putting specific context-aware hooks. We design User Privacy Preference Table (UPPT) to help a user express his privacy concerns and propose a mapping from the words in the UPPT lexicon to the methods in the Potential Method Set. With this mapping, Prihook is able to (a) select a specific set of methods; and (b) generate and place hooks automatically. Hence, the hook placement in Prihook is personalized. We test Prihook separately on 6 typical UPPTs representing 6 kinds of resource-sensitive UPPTs, and no user privacy violation is found. The experimental results show that the hooks placed by PriHook have small runtime overhead.","PeriodicalId":221956,"journal":{"name":"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TrustCom50675.2020.00087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A context-aware hook is a piece of code. It checks context-aware user privacy policy before some sensitive operations happen. We propose Prihook to address specific context-aware user privacy concerns through putting specific context-aware hooks. We design User Privacy Preference Table (UPPT) to help a user express his privacy concerns and propose a mapping from the words in the UPPT lexicon to the methods in the Potential Method Set. With this mapping, Prihook is able to (a) select a specific set of methods; and (b) generate and place hooks automatically. Hence, the hook placement in Prihook is personalized. We test Prihook separately on 6 typical UPPTs representing 6 kinds of resource-sensitive UPPTs, and no user privacy violation is found. The experimental results show that the hooks placed by PriHook have small runtime overhead.