One Versus All classification in Network Intrusion detection using Decision Tree
نویسندگان
چکیده
One-versus-all (OVA) classification is one of the multiclass classification problems as well as it is a binary classifier. On the basis of this, we propose a network intrusion detecting system for the security of computers and networks. In this paper, we present a new learning algorithm for detection of a network intrusion using one versus all decision tree algorithm, that differentiates attacks from normal behaviors and identifies different types of intrusions. Experimental results on the KDD99 dataset of network intrusion. The proposed learning algorithm achieved very good result in form of detection rate (DR) in comparison with other existing methods.
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