Computer Science – Cryptography and Security
Scientific paper
2009-12-09
S. Rastegari, M. I. Saripan and M. F. A. Rasid, "Detection of Denial of Service Attacks against Domain Name System Using Neura
Computer Science
Cryptography and Security
International Journal of Computer Science Issues, IJCSI Volume 6, Issue 1, pp23-27, November 2009
Scientific paper
In this paper we introduce an intrusion detection system for Denial of Service (DoS) attacks against Domain Name System (DNS). Our system architecture consists of two most important parts: a statistical preprocessor and a neural network classifier. The preprocessor extracts required statistical features in a shorttime frame from traffic received by the target name server. We compared three different neural networks for detecting and classifying different types of DoS attacks. The proposed system is evaluated in a simulated network and showed that the best performed neural network is a feed-forward backpropagation with an accuracy of 99%.
Rasid Mohd Fadlee A.
Rastegari Samaneh
Saripan Iqbal M.
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