Enhanced CNN-LSTM deep learning for SCADA IDS featuring hurst parameter self-similarity

Supervisory Control and Data Acquisition (SCADA) systems are crucial for modern industrial processes and securing them against increasing cyber threats is a significant challenge. This study presents an advanced method for bolstering SCADA security by employing a modified hybrid deep learning model....

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Bibliographic Details

Main Authors:	Balla, Asaad, Habaebi, Mohamed Hadi, Elsheikh, Elfatih Abdelrahman Ahmed, Islam, Md Rafiqul, Mohamed Suliman, Fakher Eldin, Mubarak, Sinil
Format:	Article
Language:	en en en
Published:	IEEE 2024
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/120262/1/120262_Enhanced%20CNN-LSTM.pdf http://irep.iium.edu.my/120262/2/120262_Enhanced%20CNN-LSTM_SCOPUS.pdf http://irep.iium.edu.my/120262/9/120262_Enhanced%20CNN-LSTM_WOS.pdf http://irep.iium.edu.my/120262/ https://ieeexplore.ieee.org/document/10382525
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