Malware Analysis and Classification: A Survey

摘要: One of the major and serious threats on the Internet today is malicious software, often referred to as a malware. The malwares being designed by attackers are polymorphic metamorphic which have the ability change their code they propagate. Moreover, diversity and volume variants severely undermine effectiveness traditional defenses typically use signature based techniques unable to detect previously unknown executables. The malware families share typical behavioral patterns reflecting origin purpose. The obtained either statically or dynamically can be exploited detect classify malwares into known families using machine learning techniques. This survey paper provides an overview of techniques for analyzing classifying malwares.