Dual Correlation-Based Sensing Spoofer Detection in ISAC Systems

This study presents a dual correlation-based physical layer security scheme to detect spoofing attacks in integrated sensing and communication systems. Specifically, it focuses on a sensing-assisted communication system in which sensing and communication signals are allocated different power levels intelligently. A dual cross-correlation-based detection method, which leverages both sensing and communication signals, is employed at the receiver to detect and sense the presence of a spoofer. Performance gains are achieved in terms of the miss detection rate of the spoofer based on the allocated transmit power and the spoofer gain, with communication reliability. The simulation results validate that the proposed method detects a spoofing attack with approximately 10-3 probability of miss detection at 30 dB SNR when the allocated sensing power and spoofer gain are high.