With the gradual opening of low-altitude airspace management and the rapid development of low-altitude economy, the number of unmanned aerial vehicles (Uavs) is growing rapidly, showing an exponential upward trend. As a key foundation to ensure the safety of UAV flight and efficient operation of business, location information has received great attention from aviation regulators in many countries and regions around the world. Therefore, relevant agencies have successively introduced regulations on UAV Remote identification (Remote ID), which requires Uavs to periodically broadcast their identifier and location information in plaintext form over wireless channels. Although mandatory location broadcasting helps to optimize the allocation of airspace resources and improve operational efficiency, it also brings new privacy risks. Malicious actors can easily obtain and analyze the trajectory data of Uavs to track them, and even lead to serious security problems such as device capture or sensitive information leakage. To address this challenge, we design and propose a location information obfuscation mechanism based on differential privacy for the location privacy protection requirements of Uavs in Remote ID scenarios. In this scheme, the obfuscated location data is broadcast instead of the real location, which aims to ensure privacy while maintaining data availability as much as possible. Finally, the privacy protection effect and usage performance of the proposed scheme are evaluated in typical application scenarios involving UAV location, and the trade-off between location privacy protection and service utility is revealed in the future-oriented Remote ID compatible UAV system.
Location Privacy Protection Method for UAV Based on Differential Privacy
16.05.2025
2262152 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2016
|Internet of vehicles track privacy protection method based on differential privacy and deep learning
Europäisches Patentamt | 2025
|