| 入侵检测系统中关联规则的挖掘 |
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| 引用本文： | 张帆,夏红霞,袁景凌,沈琦.入侵检测系统中关联规则的挖掘[J].湖北工业大学学报,2006,21(3):215-218. |
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| 作者姓名： | 张帆 夏红霞 袁景凌 沈琦 |
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| 作者单位： | 武汉理工大学计算机科学与技术学院,湖北,武汉,430070 |
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| 摘 要： | 在分析几种现有关联规则算法的基础上,针对网络数据的具体情况,引入关键属性、参考属性以及属性相对支持度的约束,对关联规则挖掘算法FP_Growth进行了扩展,解决了基本关联规则挖掘算法中产生大量无用模式的问题,从而帮助系统发掘出更有意义的模式,提高了系统挖掘的执行效率和规则库的准确度.
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| 关 键 词： | 入侵检测 关联规则 FP_Growth算法 |
| 文章编号： | 1003-4684（2006）06-0215-04 |
| 收稿时间： | 2006-03-15 |
| 修稿时间： | 2006年3月15日 |
The Data Mining Of Association Rules in the Intrusion Detection System |
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| ZHANG Fan,XIA Hong-xia,YUAN Jing-ling,SHEN Qi.The Data Mining Of Association Rules in the Intrusion Detection System[J].Journal of Hubei University of Technology,2006,21(3):215-218. |
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| Authors: | ZHANG Fan XIA Hong-xia YUAN Jing-ling SHEN Qi |
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| Affiliation: | School of Computer Science and Technology, Wuhan Univ. of Technology. Wuhan 430070, China |
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| Abstract: | This paper solves the problem that there is abundant useless modes produced by basic association rules mining,which involves the key attributes,referenced attributes and the restriction of attributes' relative support.It extends the algorithm of association rules according to the specific condition of the network data.This extension has assisted the system mine more meaningful patterns and raised the execution efficiency and accuracy of rules sets. |
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| Keywords: | intrusion detection association rules FP_growth algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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