Title :
An artificial-neural-network-based multiple classifiers intrusion detection system
Author :
Deng, Hao-ran ; Wang, Yun-Hong
Author_Institution :
Beihang Univ., Beijing
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;
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
DOI :
10.1109/ICWAPR.2007.4420755
