Zhebka, Viktoriia and Gertsiuk, Mykola and Sokolov, Volodymyr and Malinov, Vladyslav and Sablina, Mylana (2022) Optimization of Machine Learning Method to Improve the Management Efficiency of Heterogeneous Telecommunication Network Cybersecurity Providing in Information and Telecommunication Systems 2022, 3288 (1). pp. 149-155. ISSN 1613-0073
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V_Zhebka_M_Gertsiuk_V_Sokolov_V_Malinov_M_Sablina_CPITS_2022.pdf Download (1MB) |
Abstract
This paper presents some optimization method aspects use in telecommunications networks. The use of optimization methods by machine learning means is especially important to avoid various emergencies in networks. It is advisable to use machine learning methods to obtain information about signal quality, traffic, etc. At the same time, it is possible to make various malfunctions forecasts, routing, safety control. It is determined that the Markov random field model is effective in modeling in homogeneous networks. This approach allows an exponential distribution nodes modeling in heterogeneous networks. A proximal gradient algorithm modification is presented—a method of variable metric proximal gradient. Ensuring fast convergence is achieved by diagonal step size means, which is more efficient than scalar. The article reveals an adaptive metric selection rule, i.e., a diagonal step based on the BarzilaiBorwein (BB) method. The presented algorithm combines two approaches: the standard proximal gradient method and the proximal Newton method. The establishment of clear rules for choosing the diagonal step size for convex optimization algorithms has been implemented.
Item Type: | Article |
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Uncontrolled Keywords: | Convex optimization; optimization methods; machine learning; diagonal step size; BarzilaiBorvain method; proximal gradient |
Subjects: | Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus |
Divisions: | Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки імені професора Володимира Бурячка |
Depositing User: | Павло Миколайович Складанний |
Date Deposited: | 20 Dec 2022 17:12 |
Last Modified: | 20 Dec 2022 17:12 |
URI: | https://elibrary.kubg.edu.ua/id/eprint/43202 |
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