Behavior-Based Malware Detection on Mobile Phone

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.