DocumentCode :
736845
Title :
Detection System and the Realization of the Principle of BP Neural Network Based Intrusion
Author :
Ting, Chen
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
377
Lastpage :
382
Abstract :
Based on the research of the traditional intrusion detection technology analysis, statistical model for the formation of the rule base, management and the ability of intrusion detection and so on there are still some deficiencies and defects, due to the actual test result can not meet the requirements. This article is based on the traditional intrusion detection system in the high miss rate and error rate, slow training process and low detection efficiency problems to be solved, this paper proposes a intrusion detection system based on BP neural network.
Keywords :
Analytical models; Biological neural networks; Cost function; Intrusion detection; Neurons; Training; Intrusion detection; Problem; The BP neural network; traditional detection techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.97
Filename :
7263590
Link To Document :
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