| 基于人工免疫原理的入侵检测研究 |
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| 引用本文： | 郑艳君,王曙霞.基于人工免疫原理的入侵检测研究[J].石河子大学学报,2005,23(1):100-102. |
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| 作者姓名： | 郑艳君 王曙霞 |
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| 作者单位： | [1]武汉大学计算机学院计算机科学与技术系，湖北武汉430070／孝感学院计算机科学系，湖北孝感432100 [2]孝感学院计算机科学系，湖北孝感432100 |
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| 摘 要： | 将人工免疫的原理运用到计算机入侵检测系统中,充分利用了人工免疫系统的分布性、自适应性和高效性.为入侵检测系统的高误报率和缺乏自适应性问题的解决提供了一个模型框架.并对生成检测器的阴性算法进行了描述.
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| 关 键 词： | 入侵检测 人工免疫 阴性选择算法 数据挖掘 |
| 文章编号： | 1007-7383(2005)01-0100-03 |
| 修稿时间： | 2004年12月9日 |
Research on Intrusion Detection Based on Artificial Immune Theory |
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| ZHENG Yan-jun,Wang Shu-xia.Research on Intrusion Detection Based on Artificial Immune Theory[J].Journal of Shihezi University(Natural Science),2005,23(1):100-102. |
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| Authors: | ZHENG Yan-jun Wang Shu-xia |
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| Abstract: | The principle of artificial immune is applied to the computer intrusion detection system,we fully utilized the distribution,the adaptivity and the efficiency of the artificial immune system,and offered a model frame for the fact that the intrusion detection system has high wrong report rate and it's lacks of the adaptivity.We also described the negative selection algorithm that produced the detection. |
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| Keywords: | intrusion detection artificial immune negative selection algorithm data mining |
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