@inproceedings{3182129b046d4fcb911e6bab1b762d07,
title = "Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection",
abstract = "We discuss the capability of a new feature set for malware detection based on potential component leaks (PCLs). PCLs are defined as sensitive data-flows that involve Android inter-component communications. We show that PCLs are common in Android apps and that malicious applications indeed manipulate significantly more PCLs than benign apps. Then, we evaluate a machine learning-based approach relying on PCLs. Experimental validations show high performance for identifying malware, demonstrating that PCLs can be used for discriminating malicious apps from benign apps.",
author = "Li Li and Kevin Allix and Daoyuan Li and Alexandre Bartel and Bissyand{\'e}, \{Tegawend{\'e} F.\} and Jacques Klein",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Software Quality, Reliability and Security, QRS 2015 ; Conference date: 03-08-2015 Through 05-08-2015",
year = "2015",
month = sep,
day = "21",
doi = "10.1109/QRS.2015.36",
language = "英语",
series = "Proceedings - 2015 IEEE International Conference on Software Quality, Reliability and Security, QRS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "195--200",
booktitle = "Proceedings - 2015 IEEE International Conference on Software Quality, Reliability and Security, QRS 2015",
address = "美国",
}