Research on dynamic heuristic scanning technique and the application of the malicious code detection model

With the rapid development of computer technology, people pay more attention to the security of computer data and the computer virus has become a chief threat to computer data security. By using an antivirus system that can identify randomly generated computer viruses and on the basis of the basic characteristics of the computer code, this paper investigates the heuristic scanning technique. This paper proposes the minimum distance classifier and detection model through the analysis of the malicious code. This model can identify unknown feature codes of illegal procedures and construct a healthy network environment by using a combination of model and experimental method, which can intercept the illegal virus program in the installation and operation stages.