| 免疫Agent和量子粒子群优化的入侵检测方法研究 |
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| 引用本文： | 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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| 作者姓名： | 李正洁 李永忠 徐磊 |
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| 作者单位： | 江苏科技大学 计算机科学与工程学院，江苏 镇江 212003 |
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| 基金项目： | 江苏省高校自然科学基金（No.05KJD52006）;江苏科技大学科研资助项目（No.2005DX006J）;江苏科技大学研究生科技创新计划项目. |
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| 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。
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| 关 键 词： | 免疫原理 移动Agent 量子粒子群 入侵检测 |
| 修稿时间： | |
Research of intrusion detection method based on particle swarm optimization and immune Agent |
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| LI Zhengjie
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LI Yongzhong
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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. |
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| Authors: | LI Zhengjie LI Yongzhong XU Lei |
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| Affiliation: | School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, China |
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| 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. |
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| Keywords: | immune principle mobile Agent quantum-behaved particle swarm optimization intrusion detection |
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