@inproceedings{98d2efe69d7844028f79fbfed3296cc4,
title = "DroidChain: A novel malware detection method for Android based on behavior chain",
abstract = "Android malware threats have recently become a real concern. The growing amount and diversity of these applications render conventional defenses largely ineffective. To fight against malware variants and zero-day malware, this paper proposes DroidChain, a malware detection method based on behavior chain model, which is composed of typical behavior processes of Android apps. Using the method, we summarize four kinds of malware models, including privacy leakage, SMS financial charge, malware installation and privilege escalation. The detection of 1260 Android applications shows that the accuracy of this method reaches 81.8\%.",
keywords = "Behavior Chain, SMS financial charge, malware installing, privacy leakage, privilege escalation",
author = "Zhaoguo Wang and Chenglong Li and Yi Guan and Yibo Xue",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Communications and Network Security, CNS 2015 ; Conference date: 28-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "3",
doi = "10.1109/CNS.2015.7346906",
language = "英语",
series = "2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "727--728",
booktitle = "2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015",
address = "美国",
}