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This article is cited in 8 scientific papers (total in 8 papers)
A survey of problems and solution methods in network traffic classification
A. I. Get'man, Yu. V. Markin, E. F. Evstropov, D. O. Obidenkov Institute for System Programming of the Russian Academy of Sciences
Abstract:
The paper discusses the problem of network traffic classification: the characteristics that are used to solve it, existing approaches and their limitations. Applied tasks that require classification are listed, as well as additional requirements that arise from the main problem. Properties of network traffic that root in communication medium specifics are analyzed as well as the technology being used where they influence the classification process. Relevant directions in current approaches to analysis and the reasons for their development are discussed.
Keywords:
Network traffic analysis, network security, network traffic classification, machine learning, DPI.
Citation:
A. I. Get'man, Yu. V. Markin, E. F. Evstropov, D. O. Obidenkov, “A survey of problems and solution methods in network traffic classification”, Proceedings of ISP RAS, 29:3 (2017), 117–150
Linking options:
https://www.mathnet.ru/eng/tisp225 https://www.mathnet.ru/eng/tisp/v29/i3/p117
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Abstract page: | 353 | Full-text PDF : | 543 | References: | 33 |
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