Cyber-Physical Dataset for UAVs Under Normal Operations and Cyber-Attacks
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- Submitted by:
- Muhammad Ismail
- Last updated:
- Thu, 05/25/2023 - 15:22
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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) and replay attacks) on the UAV and collect cyber and physical data under normal and attack conditions, and we make this dataset publicly available.
- Four CSV files are uploaded, namely, Cyber_Data_Benign and Physical_Data_Benign indicating normal flights of UAVs, and Cyber_Data_Attack and Physical_Data_Attack indicating UAV flights subject to cyber-attacks.
- The Physical dataset includes sixteen features and the Cyber dataset includes thirty-seven features. Details about these features are found in our publication.
- Two cyber-attacks are considered in this dataset, namely, de-authentication denial-of-service attacks and replay attacks.
- Details about the testbed equipment are found in our publication.