Data Mining and Machine Learning Techniques for Malware Detection

摘要: Malware or malicious software is an umbrella term for viruses, worms, Trojans, spyware, and the like; it a piece of code that intentionally installed to infect computational devices. Several techniques have been proposed from time detect these malwares. These range early day signature-based detection machine deep learning techniques. In current scenario, malwares use obfuscation polymorphism in order hide themselves go undetected. To malwares, data mining are combined with existing methods facilitate process. Basic malware analysis like static, dynamic, hybrid detailed this paper. paper, also critically evaluated. This paper focuses on study various mining/machine approaches by different researchers.