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计算机工程 ›› 2008, Vol. 34 ›› Issue (21): 184-186. doi: 10.3969/j.issn.1000-3428.2008.21.066

• 人工智能及识别技术 • 上一篇    下一篇

多Agent负载均衡在入侵检测系统中的应用

许素霞,傅秀芬,胡金霞,高保庆,苏 磊   

  1. (广东工业大学计算机学院,广州 510006)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-05 发布日期:2008-11-05

Application of Load Balancing in Intrusion Detection System Based on Multi-Agent

XU Su-xia, FU Xiu-fen, HU Jin-xia, GAO Bao-qing, SU Lei   

  1. (Department of Computer, Guangdong University of Technology, Guangzhou 510006)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-05 Published:2008-11-05

摘要: 针对在高速网络环境中实现入侵检测系统的动态负载均衡问题,提出一种基于多Agent的负载识别和基于改进遗传算法的动态负载均衡策略,实现入侵检测系统中的智能负载均衡,给出相应的系统模型,并以实验结果证明其有效性。

关键词: 负载均衡, 遗传算法, 耦合度, 多Agent系统

Abstract: Aiming at intrusion detection system dynamic load balancing in the high-speed network environment, this paper advances a strategy based on multi-agent load identification and Genetic Algorithms(GA) to improve the dynamic load balancing, achieves the intrusion detection system intelligent load balancing, presents the system corresponding model, and experiments show that the technology can be used to solve the problem of intrusion detection system load balancing in the high-speed network.

Key words: load balancing, Genetic Algorithms(GA), coupling degree, MAS

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