| 基于格贴近度的模糊异常检测方法 |
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| 引用本文： | 郎风华,鲜继清.基于格贴近度的模糊异常检测方法[J].计算机工程与应用,2005,41(23):173-175. |
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| 作者姓名： | 郎风华 鲜继清 |
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| 作者单位： | 重庆邮电学院计算机科学与技术学院,重庆,400065 |
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| 摘 要： | 论文首先指出基于距离测度的入侵检测方法的不足,然后提出了一种基于格贴近度的旨在减少误报率和漏报率的模糊异常检测新方法,该方法利用模糊数学的模糊性度量理论,应用目前广泛使用的格贴近度工具评价网络连接过程中的异常度,从而确定入侵行为。最后,实验结果表明该方法不但能检测出未知的攻击,而且准确性及效率较高。
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| 关 键 词： | 入侵检测 信息安全 异常检测 模糊测度 格贴近度 匹配算法 |
| 文章编号： | 1002-8330-（2005）23-0173-03 |
| 收稿时间： | 2004年10月 |
| 修稿时间： | 2004年10月 |
Fuzzy Anomaly Detection Method Based on Lattice Degree of Nearness |
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| Lang Fenghua,Xian Jiqing.Fuzzy Anomaly Detection Method Based on Lattice Degree of Nearness[J].Computer Engineering and Applications,2005,41(23):173-175. |
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| Authors: | Lang Fenghua Xian Jiqing |
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| Abstract: | This paper firstly points out the deficiency of intrusion detection method based on distance measure;then presents a new fuzzy anomaly detection method based on lattice degree of nearness for reducing false positive rate and false negative rate.This method which has benefited from fuzzy measure theory of fuzzy mathematics applies lattice degree of nearness which is widely used now to evaluate the anomaly degree of a network connection and then decides whether the network connection is intrusive or not.Finally,experimental results show that this method can not only detect unknown intrusion but also improve the accuracy and efficiency. |
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| Keywords: | intrusion detection information security anomaly detection fuzzy measure lattice degree of nearness matching algorithm |
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