DocumentCode
468979
Title
An artificial-neural-network-based multiple classifiers intrusion detection system
Author
Deng, Hao-ran ; Wang, Yun-Hong
Author_Institution
Beihang Univ., Beijing
Volume
2
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
683
Lastpage
686
Abstract
In this paper, a neural network based algorithm is used in the intrusion detection. Moreover, we propose a fusion method combine several neural network classifiers. Experimental results show that the proposed method is an encouraging intrusion detection manner.
Keywords
neural nets; pattern classification; security of data; artificial neural network based algorithm; fusion method; multiple classifiers intrusion detection system; Algorithm design and analysis; Artificial neural networks; Image analysis; Intrusion detection; Neurons; Notice of Violation; Pattern analysis; Pattern recognition; Testing; Wavelet analysis; Artificial Neural networks; intrusion detection; multiple classifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420755
Filename
4420755
Link To Document