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

基于粒子群优化和免疫Agent的入侵检测算法研究

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

  • 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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