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计算机工程 ›› 2006, Vol. 32 ›› Issue (20): 188-190. doi: 10.3969/j.issn.1000-3428.2006.20.069

• 人工智能及识别技术 • 上一篇    下一篇

基于免疫的入侵检测系统研究

肖 毅1,胡伟雄1,肖 明2,赵 慧3   

  1. (1. 华中师范大学信息管理系,武汉430079;2. 华中师范大学网络中心,武汉430079;3. 华中师范大学数学与统计学院,武汉430079)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-20 发布日期:2006-10-20

Study on Intrusion Detection System Based on Immune Agent

XIAO Yi1, HU Weixiong1, XIAO Ming2, ZHAO Hui3   

  1. (1. Department of Information Management, Central China Normal University, Wuhan 430079; 2. Network Center, Central China Normal University, Wuhan 430079; 3. College of Mathematics and Statistics, Central China Normal University, Wuhan 430079)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-20 Published:2006-10-20

摘要: 将生物免疫机制引入入侵检测系统,设计了一个基于免疫代理的入侵检测系统。系统探测和响应采用层次结构,各Agent既相互独立又相互协作,游走于各网络节点间,检测分布式的攻击。该文介绍了免疫算法的寻优机理,抗体扩增和抑制、记忆单元更新、亲和度和浓度计算等关键技术,确保了抗体的多样性,改善了未成熟性的收敛。

关键词: 免疫代理, 进化, 入侵检测系统

Abstract: Inspired by the biological immune mechanism, this paper designs an intrusion detection model based on immune agents, which uses the level construction of sensor and response scheme. The immunity-based agents are independent and collaborate each other and roames among network nodes to detect the distributed intrusions. It introduces the artificial immunization algorithm to seek the superior mechanism, the antibodies promotion and suppression technology, the update of memory, the affinity and the density. The experiment shows that this system guarantes the antibodies multiplicity, improves premature convergence.

Key words: Immune agent, Evolution, Intrusion detection system