Intrusion Detection in Industrial IoT Networks using NetFlow and Machine Learning Techniques on the NF-ToN-IoT-v2 Dataset.

The massive expansion of industrial IoT networks introduces new and significant security challenges. the class of bad hack attacks that requires real-time detection and only traditional intrusion detection systems cannot perform this task due to their inadequacy in handling very large amounts of dat...

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Bibliographic Details

Published in:	Journal of Basrah Researches (Sciences) Vol. 52; no. 1; pp. 110 - 123
Main Author:	Almusawy, Buraq N.
Format:	Article
Published:	Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 2026
Subjects:	Intrusion detection systems (Computer security) Machine learning Random forest algorithms Cyber physical systems Computer network traffic
Online Access:	View this record in EBSCOhost