| 基于移动Agent的免疫入侵检测模型及算法 |
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| 引用本文： | 陈仲民,王宇. 基于移动Agent的免疫入侵检测模型及算法[J]. 计算机工程与应用, 2008, 44(8): 131-134. DOI: 10.3778/j.issn.1002-8331.2008.08.039 |
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| 作者姓名： | 陈仲民 王宇 |
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| 作者单位： | 华中农业大学,计算机科学系,武汉,430070;东南大学,计算机科学与工程系,南京,210096;桂林工学院,电子计算机系,广西,桂林,541004 |
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| 基金项目： | 国家自然科学基金（the National Natural Science Foundation of China under Grant No.60373066, No.60425206,No.90412003）;高等院校博士学科点专项科研基金（the China Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20020286004 ） . |
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| 摘 要： | 结合移动agent技术和免疫系统的特性，从实际应用的角度出发，将两者的优势引入网络入侵检测系统的设计，提出了一个基于移动agent的免疫入侵检测系统MAgentIDS模型，并对其做了较为深入的研究。重点分析了用于入侵检测系统的免疫耐受模型，改进了检测分析agent采用的否定选择核心算法。开发了原型系统并模拟一些典型入侵行为，完成入侵检测系统的检测任务，实验结果表明该模型较原有的方法具有更好的适应性。
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| 关 键 词： | 入侵检测 移动agent 免疫原理 否定选择算法 |
| 文章编号： | 1002-8331（2008）08-0131-04 |
| 收稿时间： | 2007-10-11 |
| 修稿时间： | 2008-01-09 |
Model of intrusion detection based on mobile Agent & immune principle and algorithm |
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| CHEN Zhong-min,WANG Yu. Model of intrusion detection based on mobile Agent & immune principle and algorithm[J]. Computer Engineering and Applications, 2008, 44(8): 131-134. DOI: 10.3778/j.issn.1002-8331.2008.08.039 |
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| Authors: | CHEN Zhong-min WANG Yu |
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| Affiliation: | 1.Department of Computer Science，Huazhong Agriculture University，Wuhan 430070，China 2.Department of Computer Science，Guilin Industry College，Guilin，Guangxi 541004，China 3.Department of Computer Science and Engineering，Southeast University，Nanjing 210096，China |
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| Abstract: | A model of intrusion detection based on the mobile agent technology and immune principle,called MAgentIDS,is presented from the aspects of the practical application,which utilizes the mobile agent technology and immune principle to solve the problems on the intrusion detection in the network security area.The immune tolerant model in the IDS is analyzed in especially,and the algorithm of negative selection used in the agent for analyzing is improved.The prototyping system is developed,and the emulational detection is accomplished by simulating the typical intrusions in the LAN.The experimental result indicates that the model is more adaptive than the original one. |
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| Keywords: | intrusion detection the mobile agent immune principle negative-selection algorithm |
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