Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning
Objective. The research aims to detect anomalies in data using machine learning models, in particular random forest and gradient boosting, to analyze network activity and detect cyberattacks. The research topic is relevant as cyber attacks are becoming increasingly complex and sophisticated. Develop...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Dagestan State Technical University
2024-10-01
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| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
| Subjects: | |
| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1557 |
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