文章基本信息

标题：Network Intrusion Detection Based on Stochastic Neural Networks Method
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作者：Yunfeng Yang ; Fengxian Tang
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：8
页码：435-446
出版社：SERSC
摘要：With the rapid development of the Internet, especially the development of mobile Internet, network size and network infrastructure changes, especially the more random access node to detect network attacks challenges traditional detection algorithm using neural networks, so that the calculated volume increased dramatically, and will detection accuracy is not high, for this problem, we use the stochastic process theory hidden Markov chain transformation neural network, so that the convergence of a substantial decline, while improving network attack detection accuracy degree.
关键词：Neural network; Intrusion detection; Network security; Hidden Markov ;Chain