New Model Enhances Cyber-Attack Detection in IIoT
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🛡️✨ Advanced Cyber-Attack Detection Model Developed for IIoT Security. A new study introduces a hybrid Intrusion Detection System (IDS) utilizing an LSTM-CNN-Attention architecture to enhance cybersecurity in Industrial Internet of Things (IIoT) environments. The model addresses binary and multi-class classification tasks and was tested on the Edge-IIoTset dataset, employing the synthetic minority over-sampling technique (SMOTE) to tackle class imbalance. Results showed the LSTM-CNN-Attention model outperformed other deep learning models, achieving near-perfect accuracy in binary classification and a high accuracy of 99.04% in multi-class classification, with a minimal loss value of 0.0220%. This advancement represents a significant step in securing critical infrastructures against evolving cyber threats.
