Malicious code detection with integrated behavior analysis

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 p...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2797 - 2801
Main Authors Xiao-Yong Li, Wei-Wei Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Algorithm design and analysis
Behavior analysis
Computer viruses
Cybernetics
Detection
Electronic mail
Information analysis
Internet
Machine learning
Machine learning algorithms
Malicious code
Recruitment
Virtual environment
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212646