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Multi-classification approaches for classifying mobile app traffic

机译:用于对移动应用流量进行分类的多分类方法

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摘要

The growing usage of smartphones in everyday life is deeply (and rapidly) changing the nature of traffic traversing home and enterprise networks, and the Internet. Different tools and middleboxes, such as performance enhancement proxies, network monitors and policy enforcement devices, base their functions on the knowledge of the applications generating the traffic. This requirement is tightly coupled to an accurate traffic classification, being exacerbated by the (daily) expanding set of apps and the moving-target nature of mobile traffic. On the top of that, the increasing adoption of encrypted protocols (such as TLS) makes classification even more challenging, defeating established approaches (e.g., Deep Packet Inspection).
机译:智能手机在日常生活中的使用不断增长,正在深刻(迅速)改变穿越家庭和企业网络以及互联网的流量的性质。不同的工具和中间盒,例如性能增强代理,网络监视器和策略执行设备,其功能基于生成流量的应用程序的知识。这项要求与准确的流量分类紧密相关,(每天)扩展的应用程序集和移动流量的移动目标性质加剧了这一需求。最重要的是,越来越多地采用加密协议(例如TLS)使分类更具挑战性,击败了已建立的方法(例如,深度数据包检测)。

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