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