Computer Engineering and Applications ›› 2006, Vol. 42 ›› Issue (2期): 7-10.

• 博士论坛 • Previous Articles     Next Articles

An Overview of Intrusion Detection Techniques Based on Machine Learning

YiRong Zhang,,,   

  1. 湖南省长沙市国防科技大学四院一所电子工程室
  • Received:2005-07-15 Revised:1900-01-01 Online:2006-01-11 Published:2006-01-11
  • Contact: YiRong Zhang



  1. 湖南省长沙市国防科技大学四院一所电子工程室
  • 通讯作者: 张义荣 Frankson Frankson

Abstract: Intrusion detection techniques based on machine learning is one of the key technologies to be utilized to intelligent intrusion detection under the circumstance of large scale and bandwidth network. Many kinds of currently popular intrusion detection techniques based on machine learning are generally introduced and reviewed in this paper, meanwhile, the development prospect of its is presented as well according to the tendency of network attack.

Key words: Genetic Algorithm, Rough Set, Support Vector Machine, Human Immune, Intrusion Detection, Machine Learning, Data Mining, Data Mining

摘要: 基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。本文对目前主流的基于机器学习的各种入侵检测方法进行了概要介绍和评述,并结合网络攻击的发展趋势,阐述了入侵检测机器学习方法的发展方向。

关键词: 基因算法, 粗糙集, 支持向量机, 人工免疫, 入侵检测, 机器学习, 数据挖掘, 神经网络,