Applied Physics and Mathematics Annotation << Back ANALYSIS OF NETWORK TRAFFIC CLASSIFICATION APPROACHES A.M. ANDREEF, P.G. KLYUCHAREV, S.M. JAMMOUL, A.V. BABICHENKO Network traffi c classifi cation is one of the most highly researched topics in last decade. Most of the proposed methods do not rely on clear mathematical models. We survey in this paper analytical survey of network traffic models, basic concepts and principles, domain of application and the possibility of applying these models in network traffi c classification case. Keywords: network traffic models; traffic classification; traffic identification; self-similar models; time series models, Markov models. DOI: 10.25791/pfim.04.2018.144 Contacts: E-mail: arkandreev@gmail.com Pp. 42-51.