A Novel Anti-Trojan Approach using Behavioral Analysis

Recently the concern about network security has been increasing rapidly, certain malicious programs like Trojan horses are highly hazardous to the Internet security. In this paper, we firstly discuss the current research and developing trend to anti-Trojan approach on behavioral analysis. Moreover the behavioral features of Trojan at the stage of installation will be analyzed and summarized. Further we propose an anti-Trojan approach in Windows platform, which can interpret and remove Trojans effectively at the stage of installation. By using this method, we can detect not only the known Trojan horses accurately, but also the novel ones. This approach has been implemented in Window system. We have evaluated our method with many experiments and the experiment results demonstrate the effectiveness of the approach.