基于入侵检测的BP网络算法

阐述了入侵检测技术的发展与现状,对目前所采用的入侵检测技术及其特点进行了分析比较,探讨了将神经网络应用于网络入侵检测的可行性.结合网络入侵和主机入侵方面的检测能力，构建了基于智能体的分布式入侵检测系统的体系结构模型.重点讨论了神经网络入侵检测算法，提出了较优的变速度回归神经网络检测算法.

The Research of Intrusion Detection Based on Neural Network

The author narrates the development and the present situation of the intrusion detection technique,analyses the intrusion detection technique and its characteristics adopted at present,and search the feasibility that ANN(Artificial Neural Network) technology can be applied to anomaly intrusion detection.It designs an Agent-based Distributed Intrusion Detection System.The DIDS system combines host-based intrusion detection and network-based intrusion detection functions.It can be used to protect large area network and have relatively good expansibility.This paper also discusses the implementation of BP neural network in intrusion detection and designs variable learning rate BP regression neural network.