Automating Malware Detection by Inferring Intent
An increasing variety of malware like worms, spyware and adware threatens both personal and business computing. Modern malware has two features; malware evolves rapidly; self-propagating malware can spread very fast. These features lead to a strong need for automatic actions against new unknown malware.
The aim of this paper is to develop new techniques and systems to automate the detection of new unknown malware because detection is the first step for any reaction. Since there is no single panacea that could be used to detect all malware in every environment, the paper focus on one important environment, personal computers, and one important type of malware, computer worms.
