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Online peer-to-peer traffic identification based on complex events processing of traffic event signatures

机译:基于交通事件签名的复杂事件处理的在线对等交通识别

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摘要

Peer-to-Peer (P2P) applications are bandwidth-heavy and lead to network congestion. The masquerading nature of P2P traffic makes conventional methods of its identification futile. In order to manage and control P2P traffic efficiently preferably in the network, it is necessary to identify such traffic online and accurately. This paper proposes a technique for online P2P identification based on traffic events signatures. The experimental results show that it is able to identify P2P traffic on the fly with an accuracy of 97.7%, precision of 98% and recall of 99.2%.
机译:对等(P2P)应用程序占用大量带宽,并导致网络拥塞。 P2P流量的伪装性质使其传统的识别方法无效。为了优选地在网络中有效地管理和控制P2P流量,必须在线准确地识别这种流量。提出了一种基于交通事件签名的在线P2P识别技术。实验结果表明,该方法能够实时识别P2P流量,准确率达97.7%,准确率达98%,召回率达99.2%。

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