AI-based Algorithm for GNSS Spoofing Detection

GNSS is extensively employed for applications requiring high reliability. However, GNSS inherently encompasses varying error factors and is susceptible to malicious attacks such as spoofing. To ensure stable GNSS utilization, it is imperative to incorporate GNSS spoofing signal detection mechanisms into GNSS signal processing. In this paper, artificial intelligence (AI) to detect the spoofing in GNSS signal is proposed. The developed AI model effectively detects the spoofing within GNSS signals while the satellite navigation solutions changing over time. The AI was trained using simulated GNSS data, confirming the feasibility of employing AI techniques for GNSS signal processing.