Jamming Attacks Detection and Ejection in Over the Air Computation Concentrated Solar Power Systems

The integration of the Over-the-Air Computation (AirComp) in Concentrated Solar Power (CSP) systems offers a transformative potential for real-time data aggregation in 6G-IoT networks. However, such an innovative deployment introduces critical vulnerabilities to jamming attacks that distort the aggregated signals without detection. This paper introduces a robust security framework that leverages an artificial intelligence (AI) statistical signal analysis, adaptive detection thresholds, and spatially-aware mitigation to detect and eject both simple and coordinated jamming attacks in real-world AirComp CSP systems. Detailed experimental validation at the National Solar Thermal Test Facility demonstrates significant improvements in the data aggregation and attack detection rates. It also ensures trustworthy data aggregation from commercial CSP fields, while maintaining their operational resilience.