Semantic Malware Detection by Deploying Graph Mining

Today, malware is a serious threat to the people society. Several researchers are studying detection and mitigation of malware threats. On the other hand malware authors try to use obfuscation techniques for evading detection. Unfortunately usual approach (e.g., antivirus software) use signature based method which can easily be evaded. For addressing these shortcomings dynamic methods have been introduced. The aim of dynamic methods is to detect the semantic of malware family. Obfuscation of semantic based method is too difficult and results of these methods are promising. However deploying semantic based methods for real time detection have several complications.