Gorev, V. N.V. N.GorevGusev, A. Yu.A. Yu.GusevKorniienko, V. I.V. I.KorniienkoVoronko, T. E.T. E.Voronko2023-03-072023-03-072022On the discrete kolmogorov–wiener filter for the one-point prediction of exponentially smoothed heavy-tail processes / Gorev V. N., Gusev A. Yu., Korniienko V. I., Voronko T. E. // Молодь: наука та інновації : матеріали 10-ої всеукр. наук.-техн. конф. студентів, аспірантів і молодих учених, м. Дніпро, 23–25 листопада 2022 р. – Дніпро : НТУ ДП, 2022.- С. 337-338http://ir.nmu.org.ua/handle/123456789/162723The prediction of telecommunication traffic is an important problem for telecommunications and cyber security, see a detailed description in [1]. There are a plenty of different (and rather sophisticated) approaches to traffic prediction, see [1]. The telecommunication traffic is considered to be stationary random process in a couple of models, and, as is known, such a simple algorithm as the Kolmogorov–Wiener filter may be applied to prediction of stationary processes. So, it is of interest to investigate the possibility of the Kolmogorov–Wiener filter application to heavy-tail process prediction, because traffic in telecommunication systems with data packet transfer in considered to be a heavy-tail random process, see [2,3]. Out previous paper [4] is devoted to the corresponding problem.enфільтр Колмогорова-Вінерателекомунікаційний трафіккібербезпекаArticle519.6