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Intelligent System for Worm Detection

Author(s): Ibrahim Farag | Mohammed A. Shouman | Tarek S. Sobh | Heba El-Fiqi

Journal: International Arab Journal of e-Technology
ISSN 1997-6364

Volume: 1;
Issue: 1;
Start page: 58;
Date: 2009;
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Keywords: Internet Worms | Worm Detection | Artificial Neural Network | Local Victim Information | Network Security.

Worms are on the top of malware threats attacking computer system although of the evolution of worms detectiontechniques. Early detection of unknown worms is still a problem. This paper produce a method for detecting unknown wormsbased on local victim information. The proposed system uses Artificial Neural Network (ANN) for classifying worm/ nonwormtraffic and predicting the percentage of infection in the infected network. This prediction can be used to support decisionmaking process for network administrator to respond quickly to worm propagation in an accurate procedure.
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