A Flow Trace Generator using Graph-based Traffic Classification Techniques

Siska, Peter; Stöcklin, Marc; Kind, Andreas; Braun, Torsten (2010). A Flow Trace Generator using Graph-based Traffic Classification Techniques. In: The 6th International Wireless Communications and Mobile Computing Conference, Caen, France (p. 457). ACM 10.1145/1815396.1815503

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We propose a novel methodology to generate realistic network flow traces to enable systematic evaluation of network monitoring systems in various traffic conditions. Our technique uses a graph-based approach to model the communication structure observed in real-world traces and to extract traffic templates. By combining extracted and user-defined traffic templates, realistic network flow traces that comprise normal traffic and customized conditions are generated in a scalable manner. A proof-of-concept implementation demonstrates the utility and simplicity of our method to produce a variety of evaluation scenarios. We show that the extraction of templates from real-world traffic leads to a manageable number of templates that still enable accurate re-creation of the original communication properties on the network flow level.

Item Type: Conference or Workshop Item (Paper)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Braun, Torsten
ISBN: 978-1-4503-0062-9
Publisher: ACM
Language: English
Submitter: Factscience Import
Date Deposited: 04 Oct 2013 14:17
Last Modified: 08 Jun 2016 10:23
Publisher DOI: 10.1145/1815396.1815503
URI: http://boris.unibe.ch/id/eprint/4941 (FactScience: 209596)

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