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基于免疫学的多代理入侵检测系统
引用本文:吴作顺,窦文华,刘志峰.基于免疫学的多代理入侵检测系统[J].国防科技大学学报,2002,24(4):42-47.
作者姓名:吴作顺  窦文华  刘志峰
作者单位:国防科技大学计算机学院,湖南长沙,410073
摘    要:在探讨免疫学基本原理的基础上 ,提出了基于免疫学的多代理系统 ,用于联网计算机的入侵检测与反应。在这个框架中 ,基于免疫学的安全代理在联网节点之间漫游 ,监视网络状态。这些代理相互识别对方的活动行为 ,以等级方式进行合作 ,并根据底层安全规则采取相应的行动。移动代理具有学习能力 ,能动态适应周围环境 ,检测出已知与未知的入侵。多代理检测系统同时在不同层次监视联网计算机的活动情况 ,包括用户级、系统级、进程级和数据包级。基于免疫学的多代理入侵检测系统是灵活的、可扩展的和可适应的 ,能够根据管理员的需要与参数配置实时监视网络。

关 键 词:计算机免疫学  入侵检测系统  移动代理  多代理系统
文章编号:1001-2486(2002)04-0042-06
收稿时间:2002/3/19 0:00:00
修稿时间:2002年3月19日

Immunity-Based Multi-agent Intrusion Detection System
WU Zuoshun,DOU Wenhua and LIU Zhifeng.Immunity-Based Multi-agent Intrusion Detection System[J].Journal of National University of Defense Technology,2002,24(4):42-47.
Authors:WU Zuoshun  DOU Wenhua and LIU Zhifeng
Affiliation:College of Computer, National Univ. of Defense Technology, Changsha 410073, China;College of Computer, National Univ. of Defense Technology, Changsha 410073, China;College of Computer, National Univ. of Defense Technology, Changsha 410073, China
Abstract:Based on investigating immunological principles, the paper presents a multi agent system for intrusion detection and response in networked computers. The immunity based agents roam around the nodes, and monitor the situation in the network. These agents can mutually recognize each other's activities, coordinate in a hierarchical fashion, and take appropriate actions according to the underlying security policies. Mobile agents can learn and adapt to the environment dynamically and can detect both known and unknown intrusions. The multi agent detection system can simultaneously monitor networked computer's activities at different levels, including the user level, system level, process level and packet level. The immunity-based multi-agent intrusion detection system is designed to be flexible, extendible, and adaptable that it can perform real-time monitoring in accordance with the needs and preferences of administrators.
Keywords:computer immunology  intrusion detection system  mobile agent  multi  agent system  
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