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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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Bibliografiset tiedot
Päätekijät: karrar Majid Jasim, Joolan Rokan Nayef
Aineistotyyppi: Artigo
Kieli:Árabe
Julkaistu: University of Information Technology and Communications 2025-06-01
Sarja:Iraqi Journal for Computers and Informatics
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Linkit:https://ijci.uoitc.edu.iq/index.php/ijci/article/view/552
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