基于BP神经网络算法的入侵检测技术

BP intrusion detection technology based on neural network algorithm

在入侵检测中应用神经网络技术，可以大大提高入侵检测的检测率，有效提高网络数据的安全。本文分析了BP神经网络应用于入侵检测的实现方式及存在的问题，并对现有的BP神经网络算法进行改进，阐述了基于BP神经网络入侵检测系统及仿真实验。

The application of neural network technology in intrusion detection,which can greatly improve the detection rate,effectively improve the network data security.This paper analyzed the BP neural network is applied to realize the intrusion detection and the existing problems,and the BP neural network algorithm to modify existing,describes the intrusion detection system and the simulation experiment based on BP neural network.