Open access
Jul 2026
Enhancing IoT network security with explainable deep learning-based intrusion detection systems.
A lightweight, explainable IDS that combines a 1D-CNN for spatial feature analysis with SHAP for model interpretation, yielding streamlined models that preserve over 93% F1-score and reduce computational overhead by more than 38%, facilitating millisecond-level inference on edge hardware.
Miracle Udurume, Vladimir V. Shakhov, Insoo Koo
· Scientific Reports · 0 citations