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CC BY-NC-ND 4.0
Hybrid deep learning for smart grid SCADA intrusion detection with mutual information feature selection for smart meter data analysis
The rapid evolution of smart grid infrastructure has intensified the dependence on SCADA-based supervisory systems for real-time energy management, grid reliability monitoring, and seamless integration of renewable energy sources. However, the growing digitalization of these cyber-physical networks
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