| 聚类方法在网络入侵检测中的应用 |
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| 引用本文： | 黄宁. 聚类方法在网络入侵检测中的应用[J]. 计算机安全, 2013, 0(11): 14-18 |
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| 作者姓名： | 黄宁 |
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| 作者单位： | 甘肃广播电视大学,甘肃兰州730030 |
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| 摘 要： | 为了提高入侵检测的效率，将基于最小距离的算法应用于网络入侵检测，并对文中提出的算法进行了实验。算法分析与实验结果表明，基于最小距离算法在入侵检测中具有较好的检测性能，即可以获得较高的检测率和较低的误检率。
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| 关 键 词： | 数据挖掘 入侵检测 聚类 |
Application of Cluster Algorithm in Network Intrusion Detection |
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| HUANG Ning. Application of Cluster Algorithm in Network Intrusion Detection[J]. Network & Computer Security, 2013, 0(11): 14-18 |
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| Authors: | HUANG Ning |
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| Affiliation: | HUANG Ning (Gansu Radio ＆ TV University, Lanzhou, Gansu 730030,China) |
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| Abstract: | In order to improve the efficiency of intrusion detection applying the minimum distance algorithmto network intrusion detection. Andmakeexperiment about the proposed algorithm. The experiment results show that based on the minimum distance algorithm in intrusion detection has better detection performance. it can achieve high detection rate and low false alarm rate. |
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| Keywords: | data mining intrusion detection clustering |
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