DocumentCode :
2289072
Title :
Recurrent network in network intrusion detection system
Author :
Xue, Jing-Sheng ; Sun, Ji-Zhou ; Zhang, Xu
Author_Institution :
Dept. of Comput. Sci., Tianjin Univ., China
Volume :
5
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2676
Abstract :
This paper presents a study of network intrusion detection system based on network, and proposes a method using recurrent network in network intrusion detection system. This method can be regarded as a modified Jordan recurrent network. Recurrent network is used to extract rule set of describing intrusion, pattern and features. The rule set can then be used for intrusion detection. Experiments prove that recurrent network improve performance of intrusion detection system.
Keywords :
principal component analysis; recurrent neural nets; security of data; Jordan recurrent network; network intrusion detection system; principal component analysis; Artificial neural networks; Computer science; Data analysis; Intelligent networks; Intrusion detection; Nonlinear dynamical systems; Output feedback; Principal component analysis; State feedback; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1378292
Filename :
1378292
Link To Document :
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