DocumentCode
2850603
Title
Intrusion detection model based on the improved neural network and expert system
Author
Gong, Xingchao ; Guan, Xin
Author_Institution
Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
fYear
2012
fDate
24-27 June 2012
Firstpage
191
Lastpage
193
Abstract
This paper shows a intrusion detection model that combines the BP networks and the expert system aiming at the bad effect of a single detection model .This model uses the improvement the BP neural network, simultaneously through the similar expert solves the actual problem inference mechanism, creat a neural network expert system model. The experiment simulation show that this model has less iteration times, quicker convergence rate?higher detection rate and sufficient availability, at present mainly applied in the mine network security.
Keywords
backpropagation; convergence; expert systems; inference mechanisms; iterative methods; neural nets; security of data; BP neural network; convergence rate; detection rate; expert system; inference mechanism; intrusion detection model; iteration times; mine network security; Engines; Probes; BP Network; Expert System; Intrusion Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-2363-5
Type
conf
DOI
10.1109/EEESym.2012.6258621
Filename
6258621
Link To Document