Balancing Accuracy and Efficiency in IoT Intrusion Detection Using a Confidence-Based Hybrid LightGBM–CNN Model
Resource-constrained Internet of Things (IoT) environments require intrusion detection systems (IDS) that provide high detection performance while maintaining low computational overhead. Although deep learning models have demonstrated strong predictive capability, their computational complexity often limits deployment...