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Network Traffic Classification Based on Deep Learning

机译:基于深度学习的网络流量分类

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摘要

With the rapid development of the Internet, the network has been expanding. In order to allow network operators to provide better quality of service, but also the effective supervision and management of the network, identify the traffic type of network traffic classification technology has become a hot topic in recent years. In this paper, a method of network traffic classification based on deep learning is proposed. Compared with the traditional machine learning method, the accuracy of network traffic classification based on deep learning has been improved obviously.
机译:随着互联网的快速发展,网络一直在扩大。为了允许网络运营商提供更好的服务质量,也是网络的有效监督管理,识别网络流量分类技术的交通类型已成为近年来的热门话题。本文提出了一种基于深度学习的网络流量分类方法。与传统的机器学习方法相比,基于深度学习的网络流量分类的准确性得到了显而易见的。

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