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Inter-Operator Traffic Differentiation based on Multiscale Analysis

Authors:
Nelson Coelho
Paulo Salvador
Antonio Nogueira

Keywords: traffic identification; profiling; multi-scale analysis; wavelet transform

Abstract:
Web 2.0 changed the interaction paradigm of Internet users, placing them in a more active role as both producers and consumers of digital contents. This concept has also triggered the appearance of social networks and cloud computing services, which have an increasing contribution to the total traffic amount. The increasing Internet complexity brings new challenges to network operators and managers, which need to understand new applications and know the exact properties of the generated traffic. The ability to accurately map traffic patterns to their corresponding application can be used to build efficient traffic and user profiles, which can be extremely helpful in several critical tasks like network resources optimization, service differentiation and personalization, network management and security. This paper proposes a classification approach that is able to accurately differentiate traffic flows in a core network and associate them with their underlying applications, allowing the construction of accurate traffic and user profiles. By performing a wavelet decomposition and analyzing the obtained scalograms, the captured traffic can be fully characterized in terms of its time and frequency components. As the different frequency components of the traffic are inferred, an appropriate communication profile characteristic of each application type can be defined. This way, it is possible to identify the distinct applications that are being used by the different connected clients and build useful user profiles.

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2013

Publication date: August 25, 2013

Published in: conference

ISSN: 2308-4340

ISBN: 978-1-61208-300-1

Location: Barcelona, Spain

Dates: from August 25, 2013 to August 31, 2013