%0 Journal Article
	%A Sulaiman Al Amro and  Ali Alkhalifah
	%D 2015
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 102, 2015
	%T A Comparative Study of Virus Detection Techniques
	%U https://publications.waset.org/pdf/10002328
	%V 102
	%X The growing number of computer viruses and the
detection of zero day malware have been the concern for security
researchers for a large period of time. Existing antivirus products
(AVs) rely on detecting virus signatures which do not provide a full
solution to the problems associated with these viruses. The use of
logic formulae to model the behaviour of viruses is one of the most
encouraging recent developments in virus research, which provides
alternatives to classic virus detection methods. In this paper, we
proposed a comparative study about different virus detection
techniques. This paper provides the advantages and drawbacks of
different detection techniques. Different techniques will be used in
this paper to provide a discussion about what technique is more
effective to detect computer viruses.
	%P 1559 - 1566