Cyber-Physical Dataset for UAVs Under Normal Operations and Cyber-Attacks

Unmanned aerial vehicles (UAVs) are being used for various applications, but the associated cyber risks are also increasing. Machine learning techniques have been successfully adopted to develop intrusion detection systems (IDSs). However, none of the existing works published the cyber or physical datasets that have been used to develop the IDS, which hinders further research in this field. Hence, we developed a testbed that includes a UAV, controller, and data collection tools, to launch cyber-attacks (de-authentication denial-of-service (DoS), replay, false data injection, and evil twin attacks) on the UAV and collect cyber and physical data under normal and attack conditions, and we make this dataset publicly available.