Prediction of network traffic based on neural-fuzzy analysis of changes in the volume of IP-packets

Hasanov V., Bayramov H., Mehdiyev T.

9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception (ICSCCW), Budapest, Hungary, 22 - 25 August 2017, pp.438-445 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1016/j.procs.2017.11.261
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.438-445
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

To detect and evaluate the possible anomalous in IP-packets the fuzzy forecasting methods of network traffic is considered. In the context of network traffic control system it is offered several fuzzy models allowing to approximate the network traffic and, thus, to obtain short-term forecasts of volumes of IP-packets. (c) 2018 The Authors. Published by Elsevier B.V.