Computer Engineering & Science >
Based on Neural Networks and the CFSBased Feature Selection
Received date: 2009-09-12
Revised date: 2009-12-10
Online published: 2010-06-01
This paper introduces a novel intrusion detection model based on neural networks and the CFS (correlationbased feature selection) based feature selection mechanism. It can effectively detect several types of attacks by combining neural networks and the CFSbased feature selection. The experiments upon the wellknown KDD Cup 1999 intrusion detection dataset demonstrate that the model is actually effective in practice.
SUN Ningqing . Based on Neural Networks and the CFSBased Feature Selection[J]. Computer Engineering & Science, 2010 , 32(6) : 37 -39 . DOI: 10.3969/j.issn.1007130X.2010.
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