Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent

LI Zheng-jie; LI Yong-zhong; XU Lei

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Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent

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- Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent
- Vol. 28, Issue 10, Pages: 94-97(2011)
- 作者机构：
  
  江苏科技大学机构计算机科学与工程学院,江苏,镇江,212003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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李正洁, 李永忠, 徐磊. 基于粒子群优化和免疫Agent的入侵检测算法研究[J]. 微电子学与计算机, 2011, 28(10): 94-97.

LI Zheng-jie, LI Yong-zhong, XU Lei. Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent[J]. 2011, 28(10): 94-97.
李正洁, 李永忠, 徐磊. 基于粒子群优化和免疫Agent的入侵检测算法研究[J]. 微电子学与计算机, 2011, 28(10): 94-97. DOI：

LI Zheng-jie, LI Yong-zhong, XU Lei. Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent[J]. 2011, 28(10): 94-97. DOI：

摘要

为解决传统入侵检测系统检测速度慢和误检率高的问题

结合量子粒子群优化算法、免疫原理和移动A-gent技术

提出了基于粒子群优化算法和免疫Agent的入侵检测模型.介绍了系统模型与体系结构

并对系统性能进行仿真实验.实验结果对比表明

系统能提高传统入侵检测系统的检测速度和降低误检率.

Abstract

Aiming at resolving the problem of low detecting speed and high false positive rate of traditional intrusion detection system

Quantum-behaved particle swarm optimization

immune principle and mobile agent are combined in this thesis.An intrusion detection model based on particle swarm optimization and immune agent is proposed.System model and systematic construction is introduced

and system performance is tested.The experiment results indicate that the system can improve the low detecting speed and high false positive rate of traditional intrusion detection system.

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