APPARATUS AND METHOD FOR AUTHENTICATING ADS-B TRACKS

A method for discriminating between spoofed and valid ADS-B tracks includes applying a plurality of spoofing detection tests to an ADS-B waveform, applying weighting factors to the resulting test scores, and combining the weighted scores to obtain a confidence level indicating whether the ADS-B track is valid or spoofed. The detection tests can include power level validation, Doppler offset, ADS-B rules-based analysis, multi-band detection, track origination detection, and antenna diversity. The selection of applied detection tests and/or weighting factors can be adjusted and/or selected from corresponding libraries, according to operating conditions. Tracks can be displayed together with confidence level indications, and/or excluded from display if their confidence levels are below an adjustable threshold. Weighting factors can be chosen and/or updated by a machine learning model according to success in detecting simulated and/or actual spoofed tracks. A spoofing attack can be declared according to the number of spoofed tracks detected.