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