Title of article :
Study on the TOPN Abnormal Detection Based on the NetFlow Data Set
Author/Authors :
Hongzhuo Zhang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
6
From page :
103
To page :
108
Abstract :
In recent years, with the increase of the scale and the complexity of the network, various abnormity flows begin to occur in the network. To know the running state of the network, the technology of NetFlow emerges as the times require. The NetFlow data are transmitted directly by the router which supports the function of NetFlow. Comparing with traditional data acquirement technology, the NetFlow technology needs not deployment in advance and acquires data conveniently, and it is gradually turning into the important data sources for the network management, maintenance, supervision and control. At present, there are still few abnormity detection methods based on the NetFlow data set. In this article, we introduced the principle and functions of the NetFlow, and put forward the TOPN flow abnormity detection method based on the NetFlow technology. This method can effectively detect the flow state in the network, reflect the network state and offer the information about abnormal network flows.
Keywords :
NetFlow , TOPN , Abnormity detection
Journal title :
Computer and Information Science
Serial Year :
2009
Journal title :
Computer and Information Science
Record number :
678390
Link To Document :
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