Title :
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
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;
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
DOI :
10.1109/ICWAPR.2008.4635789
