| 模糊逻辑理论在入侵检测系统中的应用研究 |
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| 引用本文： | 黄国言,常旭亮,高健培.模糊逻辑理论在入侵检测系统中的应用研究[J].计算机工程与应用,2010,46(8):110-112. |
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| 作者姓名： | 黄国言 常旭亮 高健培 |
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| 作者单位： | 燕山大学 信息与工程学院，河北 秦皇岛 066004 |
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| 基金项目： | 河北省自然科学基金Grant No.F2009000477~~ |
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| 摘 要： | 通过基于模糊逻辑的数据挖掘方法实现特征选择，使用模糊逻辑推理进行数据分析，以及支持响应回卷的模糊默认逻辑推理处理预警响应，使得入侵检测系统在特征选择和预警响应方面得到改善。实验结果显示，该检测方法能够有效检测入侵攻击，具有较低的误报率和漏报率。
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| 关 键 词： | 入侵检测 模糊逻辑 响应回卷 KDD CUP 99 |
| 收稿时间： | 2008-9-16 |
| 修稿时间： | 2008-12-10
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Application research of fuzzy logic theory in intrusion detection systems |
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| HUANG Guo-yan,CHANG Xu-liang,GAO Jian-pei.Application research of fuzzy logic theory in intrusion detection systems[J].Computer Engineering and Applications,2010,46(8):110-112. |
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| Authors: | HUANG Guo-yan CHANG Xu-liang GAO Jian-pei |
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| Affiliation: | Information Science and Engineering Institute，Yanshan University，Qinhuangdao，Hebei 066004，China |
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| Abstract: | A data mining method based on fuzzy logic for feature selection,data analysis based on fuzzy logic reasoning for intrusion analysis,and fuzzy default logic reasoning which supports response rollback for alert response are used,which make the Intrusion Detection System (IDS) improved in the aspects of feature selection and alert response.The experiments show that with the method,intrusion attacks can be detected effectively and precisely. |
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| Keywords: | intrusion detection fuzzy logic response rollback KDD CUP 99 |
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