Open access
2026
XEAD-AgriSec: An Explainable Edge Anomaly Detection Framework for Cybersecurity in AI-Powered Agricultural IoT Systems
This paper proposes XEAD-AgriSec, an eXplainable Edge Anomaly Detection framework that protects the physical sensor layer of agricultural IoT systems through a fog-computing-centric architecture and integrates SHapley Additive exPlanations and Local Interpretable Model-agnostic Explanations to produce agricultural-doma...
Yassine Boukhali, S. Drǎguşin, N. Bizon et al.
· IEEE Access · 0 citations