计算机工程与应用2012，Vol.48Issue(1)：102-104,124,4.DOI:10.3778/j.issn.1002-8331.2012.01.029
免疫Agent和量子粒子群优化的入侵检测方法研究
Research of intrusion detection method based on particle swarm optimization and immune Agent
摘要
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.关键词
免疫原理/移动Agent/量子粒子群/入侵检测Key words
immune principle/mobile Agent/quantum-behaved particle swarm optimization/intrusion detection分类
信息技术与安全科学引用本文复制引用
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):102-104,124,4.基金项目
江苏省高校自然科学基金(No.05KJD52006) （No.05KJD52006）
江苏科技大学科研资助项目(No.2005DX006J) （No.2005DX006J）
江苏科技大学研究生科技创新计划项目. （）
