Research of intrusion detection method based on particle swarm optimization and immune Agent

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (1): 102-104.

• 网络、通信、安全 • Previous Articles Next Articles

Research of intrusion detection method based on particle swarm optimization and immune Agent

LI Zhengjie, LI Yongzhong, XU Lei

School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-01-01 Published:2012-01-01

免疫Agent和量子粒子群优化的入侵检测方法研究

李正洁，李永忠，徐磊

江苏科技大学计算机科学与工程学院，江苏镇江 212003

Abstract

Abstract: Aiming at low detecting speed and high false positive rate of traditional intrusion detection system, immune principle, mobile Agent and quantum-behaved particle swarm optimization are combined. An intrusion detection model based on immune Agent and particle swarm optimization is proposed. System model and systematic construction are 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.

Key words: immune principle, mobile Agent, quantum-behaved particle swarm optimization, intrusion detection

摘要： 针对传统入侵检测系统检测速度慢和误检率高的问题，将免疫原理、移动Agent技术和量子粒子群优化算法相结合，提出了基于免疫Agent和粒子群优化算法的入侵检测模型。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。

关键词: 免疫原理, 移动Agent, 量子粒子群, 入侵检测

LI Zhengjie, LI Yongzhong, XU Lei. Research of intrusion detection method based on particle swarm optimization and immune Agent[J]. Computer Engineering and Applications, 2012, 48(1): 102-104.

李正洁，李永忠，徐磊. 免疫Agent和量子粒子群优化的入侵检测方法研究[J]. 计算机工程与应用, 2012, 48(1): 102-104.

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Research of intrusion detection method based on particle swarm optimization and immune Agent

免疫Agent和量子粒子群优化的入侵检测方法研究

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