UAV-GCS Intrusion Detection Dataset (UAV-GCS-IDS)

The UAV-GCS-IDS dataset is designed for evaluating intrusion detection systems (IDS) in Unmanned Aerial Vehicle (UAV) communication environments. It captures network traffic between Ground Control Stations (GCS) and UAVs under both benign and malicious conditions. The dataset includes 10 multiclass labels, covering normal communication and 9 distinct cyberattack types such as DDoS, DoS, MITM, Scanning, Fake Landing, and Replay attacks. Each record is extracted from .pcap files using feature engineering and is structured in tabular format for use in machine learning-based IDS research.