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首页> 外文会议>Computer Aided Modeling and Design of Communication Links and Networks, 2009. CAMAD '09 >P2P Traffic Identification Based on the Signatures of Key Packets
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P2P Traffic Identification Based on the Signatures of Key Packets

机译：基于密钥包签名的P2P流量识别

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摘要

Peer-to-Peer (P2P) protocol is widely used in many network applications and P2P traffic is becoming dominating in the current Internet and may cause serious congestion. Recently, P2P applications tend to intentionally disguise their traffic flows by using arbitrary ports, which leads the accurate identification of P2P traffic to become a very difficult job and hot research topic in network traffic control. In this paper, we employ the longest common subsequence to identify the key packets from the traffic flows, and present a new method to identify the P2P flows based on the signatures of key packets with only direction and payload length in the first few packets of a flow. We test the new method with four popular P2P applications in the actual network environment and the results show that the new method has high accuracy and efficiency since only a few packets in each flow needs to be analyzed. The new method is suitable for real time traffic management and monitoring.
机译：对等（P2P）协议已在许多网络应用程序中广泛使用，并且P2P流量在当前Internet中正在占主导地位，并可能导致严重的拥塞。近年来，P2P应用程序倾向于通过使用任意端口来伪装其流量，这导致对P2P流量的准确识别成为网络流量控制中的一项非常困难的工作和热门研究课题。在本文中，我们使用最长的公共子序列从业务流中识别关键数据包，并提出了一种新方法，该方法基于密钥数据包的签名（仅包含方向和有效载荷长度）来识别P2P流。流。我们在实际的网络环境中用四种流行的P2P应用程序对该新方法进行了测试，结果表明该新方法具有很高的准确性和效率，因为每个流中仅需要分析几个数据包。该新方法适用于实时流量管理和监视。

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