Title :
Malicious code detection with integrated behavior analysis
Author :
Li, Xiao-yong ; Liu, Wei-wei
Author_Institution :
Beijing Jiaotong Univ., Beijing, China
Abstract :
The most important finding about computer virus detection is made by Cohen who says no algorithm exists with the capability of detecting all possible computer viruses, but it might be some embarrassed with today´s malicious codes which do not always ldquoinfectrdquo other programs again. This paper extends Cohen´s impossibility finds to a more generally level to malicious code detection and presents a virtual behavior mechanism in which a behavior detection function can be inserted. If any malicious code detected, it can be recruited as if it never happened, so as not to cause any actual impact to system.
Keywords :
computer viruses; virtual machines; computer virus detection; integrated behavior analysis; malicious code detection; virtual behavior mechanism; Algorithm design and analysis; Computer viruses; Cybernetics; Electronic mail; Information analysis; Internet; Machine learning; Machine learning algorithms; Recruitment; Virtual environment; Behavior analysis; Detection; Malicious code; Virtual environment;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212646