Kulia, V.Petrenko, O.2025-02-252025-02-252024Kulia V. Detection of anomalous actions in the network based on machine learning / V. Kulia, O. Petrenko // Computer and information systems and technologies : Seventh International Scientific and Technical Conference, 2024. – Kharkiv : NURE, 2024. – p. 40-41.2710-463Xhttps://openarchive.nure.ua/handle/document/29847As cyber threats become more sophisticated, the need for effective anomaly detection systems has never been more critical. The usage of machine learning techniques to detect anomalous behavior in network traffic in comparison with traditional detection methods has been researched in this paper. Key challenges, benefits, and real-world applications of machine learning in this area were discussed.enAttribution-NonCommercial-NoDerivatives 4.0 InternationalAnomaly DetectionMachine LearningNetwork SecurityCybersecurityIntrusion Detection Systems (IDS)Semi- Supervised LearningThesis