Markov Augmented Neural Networks for Streaming Video Classification

A. Shaout, Brennan Crispin
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引用次数: 1

Abstract

With the growing number of streaming services, internet providers are increasingly needing to be able to identify the types of data and content providers that are being used on their networks. Traditional methods, such as IP and port scanning, are not always available for clients using VPNs or with providers using varying IP addresses. As such, in this paper we explore a potential method using neural networks and Markov Decision Process in order to augment deep packet inspection techniques in identifying the source and class of video streaming services.
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基于马尔可夫增强神经网络的流媒体视频分类
随着流媒体服务数量的不断增加,互联网提供商越来越需要能够识别其网络上使用的数据和内容提供商的类型。传统的方法,如IP和端口扫描,并不总是适用于使用vpn的客户端或使用不同IP地址的提供商。因此,在本文中,我们探索了一种使用神经网络和马尔可夫决策过程的潜在方法,以增强深度包检测技术来识别视频流服务的来源和类别。
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