网络流量分类研究进展与展望

近年来,随着互联网的迅猛发展,越来越多的新型网络应用逐渐兴起,网络规模不断扩大,网络组成也越来越复杂。网络流量分类技术作为增强网络可控性的基础技术之一,不仅可以帮助网络运营商提供更好的服务质量,而且能够对网络进行有效的监督管理,确保网络安全。本文综述了网络流量分类领域的研究方法及研究成果,对这些传统方法进行比较,分别指出它们的优势和不足。并针对高速网络环境下的实时分类、加密流分类、精细化分类、协议动态变化时的分类等现实挑战,对相关研究进展进行阐述和分析。最后对未来的研究方向进行展望。

Research Progress and Prospects of Network Traffic Classification

Nowadays, with the rapid development of the Internet, more and more new applications appear gradually, the scale of network expand constantly, and the architecture of network is more and more complicated. As one of the basic technologies for enhancing network controllability, traffic classification can not only provide better QoS for ISPs, but also supervise and manage network effectively, which can ensure the security of the Internet. In this paper we review the research methods and achievements in the field of traffic classification, compare these traditional methods, and point out their advantages and disadvantages. On the other hand, for the real challenges of real-time classification of high-speed network environment, encrypted traffic classification, fine-grained traffic classification, and dynamically changed protocols classification, we describe and analyze the related research progress. Finally, we look ahead the future research direction.