Using Text Mining to Infer the Purpose of Permission Use in Mobile Apps | |
Wang, Haoyu ; Hong, Jason ; Guo, Yao | |
2015 | |
关键词 | Permission purpose mobile applications Android privacy |
英文摘要 | Understanding the purpose of why sensitive data is used could help improve privacy as well as enable new kinds of access control. In this paper, we introduce a new technique for inferring the purpose of sensitive data usage in the context of Android smartphone apps. We extract multiple kinds of features from decompiled code, focusing on app-specific features and text-based features. These features are then used to train a machine learning classifier. We have evaluated our approach in the context of two sensitive permissions, namely ACCESS FINE LOCATION and READ CONTACT LIST, and achieved an accuracy of about 85% and 94% respectively in inferring purposes. We have also found that text-based features alone are highly effective in inferring purposes.; EI; CPCI-S(ISTP); howiepku@pku.edu.cn; jasonh@cs.cmu.edu; yaoguo@pku.edu.cn; 1107-1118 |
语种 | 英语 |
出处 | ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) |
DOI标识 | 10.1145/2750858.2805833 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/436673] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Wang, Haoyu,Hong, Jason,Guo, Yao. Using Text Mining to Infer the Purpose of Permission Use in Mobile Apps. 2015-01-01. |
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