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›› 2005, Vol. 31 ›› Issue (19): 25-27.

• 论文 • 上一篇    下一篇

受限模糊规则进化的入侵检测

徐慧,曹立鑫,刘凤玉   

  1. 南京理工大学计算机科学与技术系,南京理工大学计算机科学与技术系,南京理工大学计算机科学与技术系 南京 210094,南通工学院计算机科学与技术系,南通 226007
  • 发布日期:2005-10-15

Intrusion Detection for Limited Fuzzy Rule Evolving

XU Hui1,2,CAO Lixing1,LIU Fengyu1   

  1. (1.Department of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094;2.Department of Computer Science and Technology,Nantong Institute of Industry,Nantong 226007)
  • Published:2005-10-15

摘要: 基于生物进化机理,提出了模糊规则进化的推理方法,并对初始群体产生加以控制,实现受限的模糊规则进化的入侵检测“LEFRIDS”。该方法可以有效控制规则数,加速检测过程,并且由于变异会产生新的规则,使检测规则不断“新陈代谢”,提高了对未知攻击的检测能力。

关键词: 进化, 模糊, 入侵检测

Abstract: This paper proposes a method to generate fuzzy classifiers using genetic algoristhms with limited original chromosomes.The method can detect some specific intrusions and anomalies.The main idea is to evolve rule chromosomes for each class by operation of genetic select and mutation.The approach accelerates the detection process by reduce the number of rules rapidly and improves recognition of unknown attacks by the metabolism of rules.

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