期刊文献+

基于Linux平台的流量统计与异常检测系统的设计与实现

Design and Realization of Traffic Statistics and Anomaly Detecting System based on Linux
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摘要 流量统计与异常检测技术具有广泛的应用前景,从一个实际的应用项目出发,针对Netflow流数据的生成、输出、采集、统计、检测等几个方面进行了大量深入的研究,并对统计结果的输出方式、监测算法的参数优化提出了改进。在此基础上,设计并实现了一个基于Linux平台的流量统计与异常检测系统。 The technology of traffic statistics and anormaly detection based on NetFlow have widespread application prospect.This paper is based on a practical project,Focusing on several aspects of NetFlow,such as generation,output,collection,statistic,anomaly detection and so on.this paper has done a lot of thorough researches,and put forward improvement for the output model and tne parameter optimization.Finally,this paper is to design and implement a traffic statistics and anomaly detection system based on Linux.
出处 《计算机安全》 2010年第5期21-23,共3页 Network & Computer Security
关键词 NETFLOW nProbe SILK 流量统计 异常流量检测 监测模型 周期性和非周期性监测算法 NetFlow nProbe SiLK traffic statistics anomaly detection monitoring model periodic and aperiodic examination algorithm
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参考文献3

  • 1YimingGong.Detecting Worms and Abnormal Activities With NetFlow.mht,2004,http://www.securityfocus.com.
  • 2Carrie Gates,Michael Collins,Michael Duggan,etc.about SILK.pdf,2004 LISA XVIII,November 14-19.
  • 3王明华.一种互联网宏观流量异常检测方法-分类技术.通信世界网.中兴通讯技术.

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