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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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
University of Kragujevac
2025-09-01
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| Серии: | Proceedings on Engineering Sciences |
| Предметы: | |
| Online-ссылка: | https://pesjournal.net/journal/v7-n3/58.pdf |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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