Abstract:

This paper introduces a novel intrusion detection model based on neural networks and the CFS (correlationbased feature selection) based feature selection mechanism. It can effectively detect several types of attacks by combining neural networks and the CFSbased feature selection. The experiments upon the wellknown KDD Cup 1999 intrusion detection dataset demonstrate that the model is actually effective in practice.

Key words: intrusion detection;feature selection;neural network;correlationbased feature selection