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:

https://boris.unibe.ch/id/eprint/4941 (FactScience: 209596)

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