A SE-enhanced ViT-BiLSTM hybrid model reports 99.33% accuracy on EdgeIIoT and 98.16% on CICIoMT2024 for intrusion detection after data balancing.
Network intrusion detection system using convolutional neural networks: Nids- dl-cnn for iot security,
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SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
A SE-enhanced ViT-BiLSTM hybrid model reports 99.33% accuracy on EdgeIIoT and 98.16% on CICIoMT2024 for intrusion detection after data balancing.