TITLE

The Study on Network Intrusion Detection Technology Based on Improved Principal Component Analysis

AUTHOR(S)
Yu-Ting Lu
PUB. DATE
November 2013
SOURCE
Journal of Applied Sciences;2013, Vol. 13 Issue 22, p5099
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Targeting at various defects of the current intrusion detection technologies, such as the high omission ratio, poor self-learning ability and the relatively high error alarming rate, the paper proposed a intrusion detection algorithm based on improved neural network. According to the experimental results, the intrusion detection result makes full use of the advantages of KPCA and ICA and it boasts ideal intrusion detection performance and the fine learning ability.
ACCESSION #
91943501

 

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