The research of intrusion detection based on genetic neural network

Author

Zhou, Tie-jun ; Yang, Li

Author_Institution

Modern Educ. Technol. Center, Central South Univ. of Forestry & Technol., Changsha

Volume

1

fYear

2008

fDate

30-31 Aug. 2008

Firstpage

276

Lastpage

281

Abstract

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.

Keywords

backpropagation; computer networks; genetic algorithms; neural nets; search problems; security of data; telecommunication computing; telecommunication security; back propagation; computer system network security; genetic neural network; global search; improved genetic algorithm; intelligent method; intrusion detection system; Algorithm design and analysis; Educational technology; Genetic algorithms; Intrusion detection; Neural networks; Object detection; Pattern analysis; Pattern recognition; Telecommunication traffic; Wavelet analysis; Improved Genetic Algorithm; Intrusion Detection; Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-2238-8

Electronic_ISBN

978-1-4244-2239-5

Type

conf

DOI

10.1109/ICWAPR.2008.4635789

Filename

4635789