首页> 外文会议>Performance Computing and Communications Conference, IPCCC, 2008 IEEE International >Analysis of Peer-to-Peer Traffic Using a Behavioural Method Based on Entropy
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Analysis of Peer-to-Peer Traffic Using a Behavioural Method Based on Entropy

机译:基于熵的行为方法对等流量分析

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The increasing number of applications offering their services over Peer-to-Peer (P2P) platforms is changing the properties of the traffic within computer networks. Their massive use raises a few imperative challenges for network administrators and Internet Service Providers, regarging the Quality of Service and security of their networks. It such scenario, it is important to develop mechanisms to control and efficiently manage the P2P traffic and prepare the networks to support it, for which it is necessary to study the effect of P2P applications in the traffic of computer networks and to develop methodologies to characterise its behaviour. In this paper, the characteristics of the traffic generated by P2P applications are analysed from the behavioural point of view, and entropy is used to measure the heterogeneity embedded in the packet sizes. The results obtained show evident difference between P2P and non-P2P traffic, being the proposed approach applicable to real-time and high-speed networks with encrypted P2P traffic, where the existing methodologies are useless.
机译:通过对等(P2P)平台提供服务的应用程序的数量不断增加,正在改变计算机网络中流量的属性。它们的大量使用给网络管理员和Internet服务提供商带来了一些迫在眉睫的挑战,重新获得了服务质量和网络安全性。在这种情况下,重要的是开发控制和有效管理P2P流量并准备网络以支持P2P流量的机制,为此有必要研究P2P应用程序在计算机网络流量中的作用并开发表征方法。它的行为。本文从行为的角度分析了P2P应用程序生成的流量的特征,并使用熵来衡量嵌入在数据包大小中的异质性。获得的结果表明P2P和非P2P流量之间存在明显差异,这是适用于具有加密P2P流量的实时和高速网络的提议方法,而现有方法无效。

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