Behavior-Based Malware Detection on Mobile Phone
Behavior-Based Malware Detection on Mobile Phone
复制标题
DOI：
10.1109/wicom.2010.5601291
复制
发表时间：
2010-10
期刊：
影响因子：
--
通讯作者：
Shuaifu Dai;Yaxin Liu;Tielei Wang;Tao Wei;Wei Zou
中科院分区：
文献类型：
--
作者：
Shuaifu Dai;Yaxin Liu;Tielei Wang;Tao Wei;Wei Zou
Mobile malware is rapidly developing, but current anti-virus products in mobile devices still use the signature-based solutions, which usually need a large database and cannot detect malware variants. In this paper, we proposed a behavior-based malware detection system for Windows Mobile platform called WMMD (Windows Mobile Malware Detection system). WMMD uses API interception techniques to dynamic analyze application's behavior and compare it with malicious behavior characteristics library using model checking. The experiment results show that WMMD can effectively detect the obfuscated or packed malware variants that cannot be detected by other main stream anti-virus products.
