Service-based traffic classification: Principles and validation

Mario Baldi, Andrea Baldini, Niccolo Cascarano, Fulvio Risso
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引用次数: 20

Abstract

This paper presents a novel approach in traffic classification that is based on the identification of the service that generates the traffic. This method is, in some sense, orthogonal to current approaches and it can be used as an efficient complement to existing methods to reduce computation and memory requirements. Experimental results on real traffic confirm that this method is extremely effective and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of applications.
基于服务的流量分类:原理和验证
本文提出了一种基于识别产生流量的服务的流量分类方法。在某种意义上,这种方法与当前的方法是正交的,它可以作为现有方法的有效补充,以减少计算和内存需求。在真实流量上的实验结果表明,该方法是非常有效的,可以大大提高流量分类的准确率,并且适合于大量的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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