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Machine Learning-Based Detection of DDoS Attacks on Advanced Metering Infrastructure Networks in Smart Grid
A comprehensive evaluation of deep learning architectures for DDoS attack detection in AMI environments, focusing on Convolutional Neural Network, CNN-Long Short-Term Memory (CNN-LSTM), and CNN-Gated Recurrent Unit (CNN-GRU) hybrid approaches.
Cross-Chain and Energy-Efficient Intrusion Detection for IoT Security using Smart Contracts and Machine Learning
Results indicate that decentralized, interoperable, and energy-aware intrusion detection is feasible for large-scale IoT deployments, particularly in resource-constrained IoT environments.