Abstract
In this paper, we propose ARID, a solution enabling RemoteID-compliant Anonymous Remote Identification of UAVs. The adoption of ARID allows UAVs to broadcast RemoteID-compliant messages using ephemeral pseudonyms that only a Trusted Authority, such as the FAA, can link to the long-term identifier of the UAV and its operator. Moreover, ARID also enforces UAV message authenticity, to protect UAVs against impersonation and spoofed reporting, while requiring an overall minimal toll on the battery budget. Furthermore, ARID generates negligible overhead on the Trusted Authority, not requiring the secure maintenance of any private database.
While the security properties of ARID are thoroughly discussed and formally verified with ProVerif, we also implemented a prototype of ARID on a real UAV, i.e., the 3DR-Solo drone, integrating our solution within the popular Poky Operating System, on top of the widespread MAVLink protocol. Our experimental performance evaluation shows that the most demanding configuration of ARID takes only ≈ 11.23 ms to generate a message and requires a mere 4.72 mJ of energy. Finally, we also released the source code of ARID to foster further investigations and development by Academia, Industry, and practitioners.
Original language | English |
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Title of host publication | Proceedings - 37th Annual Computer Security Applications Conference, ACSAC 2021 |
Subtitle of host publication | Annual Computer Security Applications Conference |
Publisher | Association for Computing Machinery, Inc |
Pages | 207-218 |
Number of pages | 12 |
ISBN (Electronic) | 9781450385794 |
DOIs | |
Publication status | Published - 6 Dec 2021 |
Event | 37th Annual Computer Security Applications Conference, ACSAC 2021 - Virtual, Online, United States Duration: 6 Dec 2021 → 10 Dec 2021 |
Conference
Conference | 37th Annual Computer Security Applications Conference, ACSAC 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 6/12/21 → 10/12/21 |
Bibliographical note
Publisher Copyright:
© 2021 Copyright held by the owner/author(s).
Funding
The authors would like to thank the anonymous reviewers, that helped improving the quality of the paper. This publication was partially supported by awards NPRP-S-11-0109-180242 from the QNRF-Qatar National Research Fund, a member of The Qatar Foundation, and NATO Science for Peace and Security Programme - MYP G5828 project “SeaSec: DronNets for Maritime Border and Port Security”. This work has been partially supported also by the INTERSCT project, Grant No. NWA.1162.18.301, funded by Netherlands Organisation for Scientific Research (NWO). The findings reported herein are solely responsibility of the authors.
Funders | Funder number |
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Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
Keywords
- Anonymity
- Authentication
- Prototyping
- Remote identification
- Unmanned aerial vehicles