Critical Infrastructure Monitoring involves the continuous observation and analysis of essential systems—such as energy grids, transportation, and communication networks—to detect faults and threats. It combines sensor networks, data analytics, and AI models for predictive maintenance and anomaly detection. At NEC Laboratories America, research focuses on scalable sensing architectures and secure, distributed analytics for infrastructure resilience. This work supports national and industrial efforts to ensure operational continuity. The approach integrates cybersecurity, IoT, and network intelligence.
Eric Blow of NEC Labs will address how machine-learning methods applied to distributed acoustic-sensing data can monitor facility perimeters and detect intrusion via walk, dig, or drive events over buried optical fibre—for example achieving ~90% classification accuracy.