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Study on the TOPN Abnormal Detection Based on the NetFlow Data Set

机译:基于NetFlow数据集的TOPN异常检测研究

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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.
机译:近年来,随着网络规模的增加和复杂性的增加,网络中开始出现各种异常流。为了了解网络的运行状态,NetFlow技术应运而生。 NetFlow数据由支持NetFlow功能的路由器直接传输。与传统的数据采集技术相比,NetFlow技术无需事先部署,方便地采集数据,并逐渐成为网络管理,维护,监督和控制的重要数据源。目前,基于NetFlow数据集的异常检测方法仍然很少。在本文中,我们介绍了NetFlow的原理和功能,并提出了基于NetFlow技术的TOPN流异常检测方法。这种方法可以有效地检测网络中的流量状态,反映网络状态并提供有关异常网络流量的信息。

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