摘要
设计了一种基于遗传神经网络的入侵检测系统。本系统特色在于:一是适应入侵检测研究的发展趋势,从高速网络的发展需求以及智能算法方面进行系统设计;二是系统的误用检测模块可以很容易的用商用的IDS代替,且异常检测模块可随着误用检测模块病毒库的更新而不断的提高检测的准确性。
Intrusion detection systems based on genetic neural networks was designed. The characteristic of the system as follows： First the system was designed to adapt the data processing speed on the high-speed network and intelligent Methods was used; Second the module of abused instruction detection of the system can be substituted by the commercial IDS easily, moreover, with the update of the detect formula of the module of abused instruction detection the module of abnormity instruction deteetion of the system can improve the veracity of detecting attacks.
出处
《微计算机信息》
北大核心
2007年第21期85-87,共3页
Control & Automation
基金
国家科技创新基金
项目批号:03C26215100249
关键词
入侵检测系统
遗传算法
BP神经网络
intrusion detection systems, genetic algorithm, BP neural network
