| 基于数据挖掘的入侵检测系统研究 |
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| 引用本文： | 陈建兵. 基于数据挖掘的入侵检测系统研究[J]. 微计算机信息, 2007, 23(21): 82-84 |
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| 作者姓名： | 陈建兵 |
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| 作者单位： | 510640,广东,广东科贸职业学院计算机系 |
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| 摘 要： | 本文在深入研究数据挖掘、入侵检测技术的基础上,针对目前入侵检测系统存在的问题,构建了一个基于数据挖掘的入侵检测系统.该系统能检测已知和未知的入侵行为,可降低漏报和误报,提高入侵检测的精确性和速度,具有一定的自适应能力和可扩展性.
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| 关 键 词： | 数据挖掘 入侵检测 异常检测 误用检测 关联规则 |
| 文章编号： | 1008-0570（2007）07-3-0082-03 |
| 修稿时间： | 2007-06-032007-07-05 |
Study on Intrusion Detection System Based on Data Mining |
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| CHEN JIANBING. Study on Intrusion Detection System Based on Data Mining[J]. Control & Automation, 2007, 23(21): 82-84 |
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| Authors: | CHEN JIANBING |
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| Affiliation: | Computer Information Engineering, Guangdong Science and Trade Professional College 510640 |
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| Abstract: | Aimed at problems of current intrusion detection system, we constructed an intrusion detection system based on data mining on the basis of research of data mining and intrusion detection. The system can detect intrusions known and unknown, reduce omissions and misstatements, improve accuracy and speed of intrusion detection, and its adaptive capacity and scalability are very good. |
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| Keywords: | Distri bute dintrusion detection Datamining Anomalydetection Misusedetection Association rules |
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