文档介绍：1 南京邮电大学通达学院毕业设计( 论文) 外文资料翻译学院通达学院专业学生姓名班级学号外文出处 Thomas Karagiannis, Andre Broido, Michalis Faloutsos, and Kimberly C. Claffy October 2004 附件: 1. 外文资料翻译译文; 2. 外文原文指导教师评价: : □优□良□中□差 、流畅: □优□良□中□差 : □优□良□中□差 : □符合□不符合指导教师签名: 年月日 2 附件 2 :外文原文 Transport Layer Identification of P2P Traffic ABSTRACT Since the emergence of peer-to-peer (P2P ) networking in the late '90s, P2P applications have multiplied, evolved and established themselves as the leading `growth app' of traffic workload. In contrast to first-generation works which used well-defined port numbers, current P2P applications have the ability to disguise their existence through the use of arbitrary ports. As a result, reliable estimates of P2P traffic require examination of packet payload, a methodological landmine from legal, privacy, technical, logistic, and fiscal perspectives. Indeed, access to user payload is often rendered impossible byone of these factors, inhibiting trustworthy estimation of P2P traffic growth and dynamics. In this paper, we develop a systematic methodology to identify P2P flows at the transport layer, ., based on connection patterns of works, and without relying on packet payload. We believe our approach is the first method for characterizing P2P traffic using only knowledge work dynamics rather than any user payload. To evaluate our methodology,