Obfuscated Location Disclosure for Remote ID Enabled Drones
Alessandro Brighente, Mauro Conti, Matthijs Schotsman, Savio Sciancalepore

TL;DR
This paper introduces OLO-RID, a privacy-preserving extension to the Remote ID regulation for drones, using differential privacy and encryption to protect location data while maintaining regulatory compliance.
Contribution
It proposes a novel method combining differential privacy and encryption for drone location disclosure, extending RID messages to enhance privacy and security.
Findings
OLO-RID can generate privacy-preserving RID messages in under 0.16 seconds.
The solution requires minimal energy, only 0.0236% of a DJI Mini 2's energy.
Performance impact on drone utility is minimal in tested use cases.
Abstract
The Remote ID (RID) regulation recently introduced by several aviation authorities worldwide (including the US and EU) forces commercial drones to regularly (max. every second) broadcast plaintext messages on the wireless channel, providing information about the drone identifier and current location, among others. Although these regulations increase the accountability of drone operations and improve traffic management, they allow malicious users to track drones via the disclosed information, possibly leading to drone capture and severe privacy leaks. In this paper, we propose Obfuscated Location disclOsure for RID-enabled drones (OLO-RID), a solution modifying and extending the RID regulation while preserving drones' location privacy. Rather than disclosing the actual drone's location, drones equipped with OLO-RID disclose a differentially private obfuscated location in a mobile…
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Taxonomy
TopicsUAV Applications and Optimization · IoT and Edge/Fog Computing · Security in Wireless Sensor Networks
