A Research of Virus Detection Combined Dynamic and Static Analysis Methods

Abstract:

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we present a virus detection system based on the D-S theory of evidence, in which the dynamic and static analysis methods are combined. The detection engine applies two types of classifier, support vector amchine and probabilistic neural network to detect the virus. For SVM classifier, we extract the feature vector by monitoring the samples. And the static feature of samples is used in the probabilistic neural network classifier. Finally, the D-S theory of evidence is used to combine the contribution of each individual classifier to give the final decision.experiments show the presented method is more efficiently of the virus detections.

Info:

Periodical:

Edited by:

Yanwen Wu

Pages:

625-630

DOI:

10.4028/www.scientific.net/AMR.187.625

Citation:

C. Y. Miao and L. N. Chen, "A Research of Virus Detection Combined Dynamic and Static Analysis Methods", Advanced Materials Research, Vol. 187, pp. 625-630, 2011

Online since:

February 2011

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Price:

$35.00

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