Toward Infrastructure Security and Intrusion Monitoring Using Terrestrial and Non-Terrestrial Networks with Digital Twin AI

Deploying IoT networks for infrastructure security in remote areas is challenging due to dynamic environments, resource constraints, and costs. However, integrating terrestrial networks (TNs) and non-terrestrial networks (NTNs) can provide reliable connectivity and real-time security monitoring and intrusion detection. This paper presents a framework called ISIM, a three-layer monitoring architecture for infrastructure security and intrusion monitoring based on TN-NTN integration. In ISIM, we deploy WiFi-integrated IoT devices with 6G-enabled IoT gateways, 6G-enabled drones, and a Digital Twin-driven Monitoring Station (TDMS). WiFi radios serve as sensing units attached to IoT devices. Wi-Fi channel state information (CSI) is used to sense signals, and Artificial Intelligence (AI) algorithms process the collected signals to determine events. When an event is detected, the TDMS is notified, and it triggers a standby drone to reach the event area. The drone collaborates with the IoT gateways to monitor the event in real time, even before security personnel arrive. Preliminary analysis indicates that this approach enhances security in critical infrastructure areas.