Алгоритм покращення інтерпретованості моделей опорних векторів для виявлення аномалій у мережевому трафіку
This paper is devoted to enhancing the development of an algorithm aimed at improving the interpretability of machine learning models used for detecting anomalies in network traffic, which is critical for modern cybersecurity systems. The focus is on one-class support vector machine (SVM) models, wh...
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| Date: | 2025 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2025
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| Subjects: | |
| Online Access: | https://jais.net.ua/index.php/files/article/view/521 |
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| Journal Title: | Problems of Control and Informatics |