基于BP神经网络的入侵检测系统设计

Design of Intrusion Detection System Based on BP Neural Network

传统的入侵检测技术在建立统计模型、规则库管理和检测性能等方面存在着缺陷和不足,影响了入侵检测系统的实际应用效果。本文提出并利用Matlab神经网络工具箱建立一个基于BP神经网络的入侵检测系统。实验结果表明,该算法在提高入侵检测系统的检测准确率、降低误报率和漏报率等方面具有一定的优越性,收敛速度较快。

The traditional intrusion detection technology in build a statistical model,rule library management and the detection performance aspects have disadvantages and limitations,it impacts of the intrusion detection system application effect.This article proposes and uses Matlab toolbox to establish a neural network based on BP neural network intrusion detection system.Experiment results show that this algorithm improves the intrusion detection system detection accuracy,reduce the rate of false positives and fail,etc,and has certain advantages of convergence.