DocumentCode :
3442985
Title :
An IDS detection algorithm based IBP neural network
Author :
Han Zhong-Xiang ; Wang Xiao-Dong ; Hu Xi-Ming ; Duan Tao
Author_Institution :
Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´an, China
Volume :
2
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
698
Lastpage :
701
Abstract :
This paper discuss limitation of multi-ply feedback neural network algorithm, put forward a fast IDS detection algorithm based improved BP algorithm -IBP, new algorithm add a momentum item adopt alterable learn speed policy and batching, simulation with computer proves that choose bigger learning gene can quicken algorithm convergent speed. The modified algorithm has some advantage than traditional algorithm in convergent speed, susceptive to begin coefficient, stabilization in network.
Keywords :
backpropagation; neural nets; security of data; convergent speed; fast IDS detection algorithm; improved BP algorithm; learning gene; momentum item; Analytical models; Surges; IBP algorithm; convergent speed; intrusion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658466
Filename :
5658466
Link To Document :
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