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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Bibliographic Details

Published in:	Journal of industrial information integration Vol. 33; p. 100466
Main Authors:	Fosić, Igor, Žagar, Drago, Grgić, Krešimir, Križanović, Višnja
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2023
Subjects:	Anomaly classification Imbalanced dataset Machine learning NetFlow Supervised algorithm Imbalanced dataset NetFlow Anomaly classification Supervised algorithm Machine learning
ISSN:	2452-414X, 2452-414X
Online Access:	Get full text
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