Design and implementation of an Improved BP neural network intrusion detection method

LI Qinpu; HE Lifu

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Design and implementation of an Improved BP neural network intrusion detection method

更新时间：2025-11-18

- Design and implementation of an Improved BP neural network intrusion detection method
- Vol. 35, Issue 6, Pages: 38-40(2015)
- 作者机构：
  
  国网湖南省电力公司防灾减灾中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183;TP393.08
- Published：2015
- 稿件说明：
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[1]李勤朴,何立夫.一种改进的BP神经网络入侵检测方法的设计与实现[J].湖南电力,2015,35(06):38-40.

LI Qinpu, HE Lifu. Design and implementation of an Improved BP neural network intrusion detection method[J]. 2015, 35(6): 38-40.
[1]李勤朴,何立夫.一种改进的BP神经网络入侵检测方法的设计与实现[J].湖南电力,2015,35(06):38-40. DOI：

LI Qinpu, HE Lifu. Design and implementation of an Improved BP neural network intrusion detection method[J]. 2015, 35(6): 38-40. DOI：

摘要

针对传统BP神经网络入侵检测算法学习效率低

收敛速度慢的缺点

本文提出了一种改进型的BP神经网络入侵检测算法

并进行了系统原型的设计。实验表明

改进型的算法比传统型的算法具有更快的学习速度和更准确的报警率

结果令人满意。

Abstract

Aiming at the shortcomings of low learning efficiency and slow convergence speed of intrusion detection algorithm based on traditional BP neural network

this paper presents an improved intrusion detection algorithm based on improved BP neural network

and designs the system prototype. The simulation results show that the improved algorithm has faster learning speed and more accurate alarm rate than the traditional algorithm. And the results of the experiment are satisfactory.

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