The research of intrusion detection based on genetic neural network

Intelligent Methods for Intrusion Detection System is hot spot in the field of network security, this paper proposed the genetic neural network to study IDS issues, and based on the traits that the genetic algorithm (GA) is good in global searching and the back propagation (BP) is effective on accur...

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Bibliographic Details
Published in2008 International Conference on Wavelet Analysis and Pattern Recognition Vol. 1; pp. 276 - 281
Main Authors Tie-Jun Zhou, Li Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2008
Subjects
Artificial neural networks
Biological cells
Gallium
Genetic algorithms
Genetics
Improved Genetic Algorithm
Intrusion detection
Neural Network
Training
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ISBN9781424422388
1424422388
ISSN2158-5695
DOI10.1109/ICWAPR.2008.4635789

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Summary:Intelligent Methods for Intrusion Detection System is hot spot in the field of network security, this paper proposed the genetic neural network to study IDS issues, and based on the traits that the genetic algorithm (GA) is good in global searching and the back propagation (BP) is effective on accurate local searching. Meanwhile, an improved genetic algorithm (IGA) is proposed, corresponding experiment results show that when applying to intrusion detection, IGA-BP performs better on the detection efficiency and false alarm rate.
ISBN:9781424422388
1424422388
ISSN:2158-5695
DOI:10.1109/ICWAPR.2008.4635789