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Pair-wise similarity criteria for flows identification in P2P/non-P2P traffic classification

Authors:
José Camacho
Pablo Padilla
Francisco Javier Salcedo-Campos
Pedro García-Teodoro
Jesús Esteban Díaz-Verdejo

Keywords: Traffic classification; peer-to-peer; k-Nearest Neighbors

Abstract:
There is a growing interest in network traffic classification without accessing the packets payload. A main concern for network management is peer-to-peer (P2P) traffic identification. This can be performed at several levels, including packet level, flow level and node level. Most current traffic identification approaches rely on flow level identification, being highly demanding and time consuming procedures. This paper introduces a similarity-based method to pair flows up, which is aimed at reducing the cost of identifying P2P/non-P2P traffic flows. For that, different similarity measures for flows pairing are proposed and analyzed.

Pages: 59 to 64

Copyright: Copyright (c) IARIA, 2011

Publication date: November 20, 2011

Published in: conference

ISBN: 978-1-61208-173-1

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011