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ENHANCING IOT SECURITY WITH MACHINE LEARNING: A RANDOM FOREST-BASED APPROACH FOR CYBER-ATTACK DETECTION

A few industries that have undergone significant changes as a result of the Internet of Things' (IoT) rapid growth are smart cities, manufacturing, and healthcare. But the quick spread of IoT devices has led to serious security flaws, making them vulnerable to several kinds of cyberattacks. This pap...

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Bibliographic Details
Main Authors: Ilyas Haman, Zahra Oughannou, Nour El Houda Chaoui, Habiba Chaoui
Format: Artigo
Language:Inglês
Published: University of Kragujevac 2025-09-01
Series:Proceedings on Engineering Sciences
Subjects:
Online Access:https://pesjournal.net/journal/v7-n3/58.pdf
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