BP神经网络在入侵检测系统中的应用研究

文章针对传统的入侵检测系统误报率和漏报率较高、检测效率和智能化程度不足的缺点,提出了基于BP神经网络的入侵检测系统,详细介绍了BP神经网络的工作原理,分析了基于BP神经网络的入侵检测系统的设计和实现,通过仿真实验表明这种神经网络和遗传算法可以有效地应用到入侵检测系统中。

The Application of BP Neural Network in Intrusion Detection System

The rate of losing alarm and false alarm in traditional intrusion detection system is too high and its detecting efficiency and intellectualized degree are insufficient.Aimed at all the above problems,a novel intrusion detection system based on BP（back propagation） neural network is proposed.The principle of BP neural network is introduced in this article.The design and implementation of intrusion detection system based on BP neural network are analyzed in detail.The simulated experiments show that this neural network and genetic algorithm can be applied to the intrusion detection system effectively.