摘要
构建了一种基于误差反向传播神经网络的入侵检测系统总体架构,分析了该系统的各组成模块和功能要求。重点阐述了基于误差反向传播的入侵检测分析模块的设计方案,研究入侵分析过程中的几个关键问题并给出了解决方法。最后给出了基于误差反向传播网络的检测算法流程。
In this paper, an overall framework of intrusion detection system based on back propagation neural network is constructed, various component modules and their function requests of the system are analyzed, and the design scheme of intrusion detection and analysis module based on back propagation neural is emphatically described, several critical problems in the intrusion analysis and their the solutions are also given. Finally the detection algorithm procedure based on back propagation neural is presented.
出处
《通信技术》
2008年第5期125-127,共3页
Communications Technology
基金
四川省教育厅资助科研项目(07ZC010)。
关键词
误差反向传播
入侵检测
神经网络
滥用入侵
异常入侵
back propagation
intrusion detection
neural network
abuse intrusion
abnormal intrusion
