Randomized CNN based deep learning technique for the cyber-attacks detection in SCADA industrial control systems

The increasing digitization and connectivity of Industrial Control Systems (ICS) have exposed them to highly sophisticated cyber threats to a great extent. Traditional security mechanisms like rule-based and signature-based intrusion detection systems fail to detect new and emerging attacks. In such...

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Bibliographic Details

Main Authors:	Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Jaleel, Nubila, Siddique, Mohammed Tahir
Format:	Article
Language:	en en
Published:	Elsevier 2025
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/121301/1/121301_Randomized%20CNN%20based%20deep%20learning.pdf http://irep.iium.edu.my/121301/7/121301_Randomized%20CNN%20based%20deep%20learning%20technique_Scopus.pdf http://irep.iium.edu.my/121301/ https://www.sciencedirect.com/science/article/abs/pii/S0263224125012928?via%3Dihub
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