A free, openly-licensed benchmark for evaluating ADS-B anomaly and spoofing detectors. It pairs
real airborne ADS-B traffic with synthetically injected attacks following the standard taxonomy in the
ADS-B security literature, so detectors can be compared on a shared, labelled, reproducible dataset.
918 rows — 459 real / 459 injected (balanced)
38 documented columns — raw ADS-B fields, integrity fields (NIC/NACp/NACv/SIL), and derived… See the full description on the dataset page:
https://huggingface.co/datasets/Muhammaduazir69/aeroscope-adsb-anomaly-benchmark.
