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