Anomaly detection in NetFlow network traffic using supervised machine learning algorithms

Anomaly detection is an important method for monitoring network traffic where is important to successfully distinguish normal traffic from abnormal traffic. For this purpose, one could use the existing classification algorithms as a part of the machine learning (ML) process. In this paper, some of t...

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Veröffentlicht in:	Journal of industrial information integration Jg. 33; S. 100466
Hauptverfasser:	Fosić, Igor, Žagar, Drago, Grgić, Krešimir, Križanović, Višnja
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2023
Schlagworte:	Anomaly classification Imbalanced dataset Machine learning NetFlow Supervised algorithm Imbalanced dataset NetFlow Anomaly classification Supervised algorithm Machine learning
ISSN:	2452-414X, 2452-414X
Online-Zugang:	Volltext
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