Detection and Classification of Network Intrusions Using Ensemble Learning Methods
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
ЧДБК
Abstract
The presented work is dedicated to the development of intelligent systems for identifying cyber threats and network anomalies. This study was implemented within the framework of a specialized English-language Python programming course. A feature of the training was the full integration of technical English in the educational process: from studying the documentation of machine learning libraries to communicating with teachers and colleagues exclusively in English for discussing model architectures and experimental results.
Description
Keywords
SOCIAL SCIENCES::Social sciences::Education, HUMANITIES and RELIGION::Languages and linguistics, SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information technology
Citation
Ivchenko V.V., Ivanova I.V. Detection and Classification of Network Intrusions Using Ensemble Learning Methods. Матеріали ХVІІI Всеукраїнської науково-практичної конференції «Тенденції розвитку ІТ-технологій в Україні»: збірник наукових праць. Черкаси, 2026. С. 61-62