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	Network traffic monitoring based on mining frequent patterns
	Fang, Guodong ; Deng, Zhihong ; Ma, Hao
	2009
英文摘要	To keep the network secure, it is necessary to monitor network traffic timely and effectively. The traditional methods for detecting network anomalies were mainly based on such ways as sampling, counting and aggregating, but they can not solve the problem of getting accurate and effective results well. In this paper we propose a new method that is based on the basic properties of frequent pattern mining problem and makes use of the vertical mining methods to mine frequent patterns from network traffic. Based on this algorithm, we build a prototype system to evaluate our algorithm on huge netflow data of campus network. The experimental result shows that this algorithm can detect network anomalies timely and effectively and can help network administrators achieve more effective monitoring on network. ? 2009 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/FSKD.2009.444
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/263106]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Fang, Guodong,Deng, Zhihong,Ma, Hao. Network traffic monitoring based on mining frequent patterns. 2009-01-01.

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