计算机与现代化 ›› 2010, Vol. 1 ›› Issue (8): 18-21.doi: 10.3969/j.issn.1006-2475.2010.08.006

• 算法设计与分析 • 上一篇    下一篇

基于遗传算法的BP神经网络入侵检测系统在校园网中的应用

张学锋,黄子辉   

  1. 惠州学院数学系,广东 惠州 516007
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-08-27 发布日期:2010-08-27

Application of BP Neural Network Intrusion Detection System Based on

ZHANG Xue-feng, HUANG Zi-hui   

  1. Department of Mathematics, Huizhou University, Huizhou 516007, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-08-27 Published:2010-08-27

摘要:

随着网络应用日益普及,随之而来的网络安全问题日益凸显,本文针对校园网所面临的安全威胁,通过对入侵检测技术的简单介绍,结合校园网的实际情况提出一种新的基于遗传算法的BP神经网络实时入侵检测系统,它有效地增强了校园网的安全防护。

Abstract:

With the popularization of Internet, the consequent network security issues becomes prominent. This paper based on the security threats of campus network faced, by the brief introduction of intrusion detection techniques and combining the actual campus network, presents a new realtime intrusion detection system, which is established based on genetic neural network. It effectively enhances the security of campus network.

Key words: genetic neural networks, campus network, BP neural networks, genetic algorithm, intrusion detection