Abstract
This paper describes a protocol detection using statistic information about a flow extended by packet sizes and time characteristics, which consist of packet inter-arrival times. The most common way of network traffic classification is a deep packet inspection (DPI). Our approach deals with the DPI disadvantage in power consumption using aggregated IPFIX data instead of looking into packet content. According to our previous experiments, we have found that applications have their own behavioral pattern, which can be used for the applications detection. With a respect to current state of development, we mainly present the idea, the results which we have achieved so far and of our future work.
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© 2011 IFIP International Federation for Information Processing
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Piskac, P., Novotny, J. (2011). Using of Time Characteristics in Data Flow for Traffic Classification. In: Chrisment, I., Couch, A., Badonnel, R., Waldburger, M. (eds) Managing the Dynamics of Networks and Services. AIMS 2011. Lecture Notes in Computer Science, vol 6734. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21484-4_21
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DOI: https://doi.org/10.1007/978-3-642-21484-4_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21483-7
Online ISBN: 978-3-642-21484-4
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