journal6 ›› 2008, Vol. 29 ›› Issue (4): 58-61.

• 物理与电子 • 上一篇    下一篇

基于入侵检测的BP网络算法

  

  1. (1.枣庄学院计算机科学系,山东 枣庄277100;2.华东师范大学软件学院,上海200241)
  • 出版日期:2008-07-25 发布日期:2012-05-21
  • 作者简介:李钢(1979- ),男,山西运城人,枣庄学院计算机科学系讲师,硕士生,主要从事网络数据库与信息安全研究.
  • 基金资助:

    山东省教育厅科技攻关计划资助项目(J07WJ29)

The Research of Intrusion Detection Based on Neural Network

  1. (1.Deptartment of Computer Science,Zaozhuang University,Zaozhuang 277100,Sandong China;2.Software Engineering Institute of East China Normal University,Shaihai 200241,China)
  • Online:2008-07-25 Published:2012-05-21

摘要: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.

关键词: 网络安全, 入侵检测, 神经网络

Abstract: 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.

Key words: network security, intrusion detection, neural network

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