Automatically identifying technology in malware based on mass samples

With the rapid development of Internet application, malware detection becomes more and more important and tremendous. There are tens of thousands of new malware samples especially associated with economic interests. Manual inspection is difficult to identify the samples with high-speed response. We designed and implemented an automatically identifying system based on the mass samples. It has high accuracy and good speed improving the efficiency of detecting malware.