Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems (IDSs). Machine learning (ML) has emerged as a highly efficient approach for designing cyber-attack detection sys...

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Bibliografiset tiedot

Päätekijät:	Shereen Ismail, Salah Dandan, Ala'a Qushou
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Internet of Things Industrial Internet of Things security cyber-attacks intrusion detection machine learning
Linkit:	https://ieeexplore.ieee.org/document/10937697/
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