IoT intrusion detection system based on machine learning and deep learning

The proliferation of Internet of Things IoT devices has amplified cybersecurity challenges, necessitating robust Intrusion Detection Systems IDS to safeguard against threats such as botnets and Distributed Denial-of-Service DDoS attacks. This paper evaluates the performance of Machine Learning ML an...

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Bibliografski detalji

Glavni autori:	karrar Majid Jasim, Joolan Rokan Nayef
Format:	Artigo
Jezik:	Árabe
Izdano:	University of Information Technology and Communications 2025-06-01
Serija:	Iraqi Journal for Computers and Informatics
Teme:	iot security deep learning machine learning, intrusion detection
Online pristup:	https://ijci.uoitc.edu.iq/index.php/ijci/article/view/552
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