Anomaly Detection system for an 5G Enabled Industrial Internet of Things
Asterios Mpatziakas, Alexandros Emvoliadis, Anastasios Drosou, Nestor D. Chatzidiamantis, Dimitrios K. Tzovaras · 2024
Industry 4.0 (I4.0) integrates Information and Operational Technologies (IT and OT) to enhance industrial efficiency, sustainability, and cost-effectiveness. This paradigm includes 5 th generation (5G) networks, Internet of Things (IoT), Digital Twins, and Artificial Intelligence (AI), but also introduces new security risks. We present a novel anomaly detection system for 5G-enabled Industrial IoT (IIoT) using deep learning techniques and multi-stage detection to address these challenges.