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一种基于聚类分析的入侵检测系统模型
引用本文:黄凯锋.一种基于聚类分析的入侵检测系统模型[J].科技信息,2011(35):150-151.
作者姓名:黄凯锋
作者单位:洛阳师范学院信息技术学院,河南洛阳471022
摘    要:针对原始入侵检测系统误报率高的缺点,在原始系统中添加了聚类检测部分,提出了一种基于聚类分析的入侵检测系统结构模型.实验表明该新系统有效降低了误报率,能准确的检测出异常数据。

关 键 词:聚类  攻击  入侵检测

An Intrusion Detcetion System Based on Clustering Analysis
HUANG Kai-feng.An Intrusion Detcetion System Based on Clustering Analysis[J].Science,2011(35):150-151.
Authors:HUANG Kai-feng
Institution:HUANG Kai-feng (College of Information Technology, Luoyang Normal University, LuoYang Henan, 471022)
Abstract:In view of the faluts of the traditional Intrusion Detcetion System in the rate of False alarm which add cluster detection to the original system,forming an Intrusion Detcetion System Based on Clustering Analysis. Experimental results show that the new system can effectively reduce the rate of false alarm, it can accurately detect anomaly data.
Keywords:Clustering  Attack  Intrusion detection
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