Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
DOAJ
Open Access (DOAJ)
DOI:
10.1007/s43926-025-00100-0