Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT

Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT

In Industry 4.0, information and communication technology (ICT) was employed in numerous significant infrastructures, like financial networks, smart factories, and power plants, to automate and certify industrial systems. In power control systems, ICT technologies such as IIoT have improved automate...

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Bibliographic Details
Main Authors: Mahmoud Ragab, Mohammed Basheri, Nasser N. Albogami, Alanoud Subahi, Omar A. Abdulkader, Hashem Alaidaros, Hassan Mousa, Abdullah AL-Malaise AL-Ghamdi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Alexandria Engineering Journal
Subjects:
Industrial Internet of Things
Cybersecurity
Honey Badger Algorithm
Ensemble Learning
Attack Detection
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824011645

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http://www.sciencedirect.com/science/article/pii/S1110016824011645

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