Paper Title:
A Research of Virus Detection Combined Dynamic and Static Analysis Methods
  Abstract

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, 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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