| 基于信息度量和多维数据挖掘算法的网络异常检测系统 |
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| 引用本文： | 杨加,马皓,张蓓,陈萍.基于信息度量和多维数据挖掘算法的网络异常检测系统[J].中国教育网络,2009(1):90-92. |
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| 作者姓名： | 杨加 马皓 张蓓 陈萍 |
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| 作者单位： | 北京大学,计算中心,北京,100871 |
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| 摘 要： | 针对校园网管理工作的实际情况，提出了基于信息度量和多维数据挖掘算法的网络异常检测系统。该系统使用信息度量技术识别网络中发生的异常事件，并在此基础上采用多维数据挖掘算法对异常事件进行细粒度分析，从而实现对网络异常事件高效、准确的检测。
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| 关 键 词： | 信息度量 网络管理 数据挖掘 |
A Network Anomaly Detection System Based on Information Measures and Multidimensional Traffic Mining Algorithms |
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| YANG Jia,MA Hao,ZHANG Bei,Ping Chen.A Network Anomaly Detection System Based on Information Measures and Multidimensional Traffic Mining Algorithms[J].China Education Network,2009(1):90-92. |
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| Authors: | YANG Jia MA Hao ZHANG Bei Ping Chen |
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| Institution: | (Computer Center of Peking University, Beijing 100871, China) |
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| Abstract: | This paper introduces a network anomaly detection system based on information measures and multidimensional traffic mining algorithms. The system employs information measures for identifying network anomalies, and then uses multidimensional traffic mining algorithms for fine-grained analysis in order to obtain meaningful information from anomaly-related-traffic. Experiments demonstrates that the system can efficiently and accurately detect network anomalies. |
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| Keywords: | information measures network management data mining |
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