现代电子技术2017，Vol.40Issue(11)：91-94,4.DOI:10.16652/j.issn.1004-373x.2017.11.024
基于神经网络的BP算法研究及在网络入侵检测中的应用
Research on BP algorithm based on neural network and its application in network intrusion detection
罗俊松1
作者信息
- 1. 成都理工大学 信息科学与技术学院,四川 成都 610059
- 折叠
摘要
Abstract
By analyzing the problems of BP neural network applied to the detection system,the automatic variable - rate learning method,forgetting factor and random optimization operator are introduced into the BP algorithm on the basis of traditional BP algorithm. The BP algorithm is applied to the network intrusion detection system. The simulation results show that the im-proved BP neural network algorithm applied to intrusion detection has the characteristics of fast speed and easy convergence, and can quickly obtain the target accuracy of 0.02. The detection rate,missed detection rate and false alarm rate of the improved BP neural network algorithm can reach up to 96.17%,3.83% and 4.15% respectively,whose detection rate is 11.65% higher than that of the traditional BP algorithm,the missed detection rate is 10.66% lower than that of the traditional BP algorithm,and the false alarm rate is 4.07% lower than that of the traditional BP algorithm. The superiority of the algorithm is obvious.关键词
BP算法/入侵检测/神经网络/随机优化算子Key words
BP algorithm/intrusion detection/neural network/random optimization operator分类
信息技术与安全科学引用本文复制引用
罗俊松..基于神经网络的BP算法研究及在网络入侵检测中的应用[J].现代电子技术,2017,40(11):91-94,4.
