Abstract
In various network tests we often need to use different trace files in order to get the most comprehensive result. This procedure requires multiple input files which were generated in different ways. In this paper we suggest a method for analyzing a traffic measurement and extracting the most typical user behaviors. We introduce the Traffic Descriptive Strings (TDS) which is a projection of measurement data. We present an algorithm which is able to score the similarities between two TDSs. © 2012 IFIP International Federation for Information Processing.
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Megyesi, P., & Molnár, S. (2012). Finding typical internet user behaviors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7479 LNCS, pp. 321–327). https://doi.org/10.1007/978-3-642-32808-4_29
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