@inproceedings{92aad74a68f64e5f80d48f90ac0d3021,
title = "Droidprotector: Preventing capability leak of android applications",
abstract = "Both benign and malicious developers are attracted to Android platform because anyone is allowed to publish applications on the Android market. Such capability leak vulnerability on the Android platform may lead to permission elevation and privacy disclosure by making malware bypass Android security mechanism. This paper presents a code scanner tool-Droidprotector which is applied to help developers search bugs and focus on the business of applications rather than the security problems. Firstly, Markov blanket is used for feature selection. Secondly, source code is analyzed by a machine-leaning method. Finally, malicious intents and capability leaks are detected. By collecting 3482 applications and 59 source files to learn Markov blanket as the feature set and testing this code scanner tool, the experimental results show that DroidProtector can detect the vulnerability of Android source code effectively by using Markov blanket to select features correctly.",
keywords = "Android Applications, Capability Leaks, Feature Selection, Markov blanket, Security",
author = "Jiyuan Sun and Shaozhen Ye and Jianwei Liu and Tao Shang and Qi Lei",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Green Informatics, ICGI 2017 ; Conference date: 15-08-2017 Through 17-08-2017",
year = "2017",
month = nov,
day = "21",
doi = "10.1109/ICGI.2017.14",
language = "英语",
series = "Proceedings - 2017 International Conference on Green Informatics, ICGI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "163--168",
booktitle = "Proceedings - 2017 International Conference on Green Informatics, ICGI 2017",
address = "美国",
}