Malware Detection of Portable Executable Using Machine Learning and Neural Networks

Abstract

Abstract: Among the more well-known types of automatic detection technology, malware detection includes detection and protection methods against viruses caused by viruses, worms, Trojan horses, spyware, and various types of malicious code. Failure to find a malware program at its inception leaves a space where it will send a significant threat and value to online security not only for individuals, organizations but also the community and the nation. And it seems that antivirus software may fail to detect viruses if it is not updated on a website with an anti-virus engine. The great struggle is to find a new virus because when it encounters new malware behavior, it takes a series of steps based on established law. If the rule of law determines thatthe new behavior is safe the virus remains undetected.