Methods for detecting anomalies in network traffic based on one-class SVM technology
This paper investigates the application of the one-class SVM (Support Vector Machines) method for detecting anomalies in network traffic, a critical challenge in the field of cybersecurity. We introduce several enhancements to the one-class SVM approach, including the integration of online learning...
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| Veröffentlicht in: | Проблеми керування та інформатики |
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| Datum: | 2025 |
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
Інститут кібернетики ім. В.М. Глушкова НАН України
2025
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| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/211376 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Methods for detecting anomalies in network traffic based on one-class SVM technology / K. Kerimov,S. Kurbanov, Z.Azizova // Проблемы управления и информатики. — 2025. — № 2. — С. 91-98. — Бібліогр.: 6 назв. — англ. |