The Automatic Dependent Surveillance-Broadcast (ADS-B) protocol is being adopted for use in unmanned aerial vehicles (UAVs) as the primary source of information for emerging multi-UAV collision avoidance algorithms. The lack of security features in ADS-B leaves any processes dependent upon the information vulnerable to a variety of threats from compromised and dishonest UAVs. This could result in substantial losses or damage to properties. This research proposes a new distance-bounding scheme for verifying the distance and flight trajectory in the ADS-B broadcast data from surrounding UAVs. The proposed scheme enables UAVs or ground stations to identify fraudulent UAVs and avoid collisions. The scheme was implemented and tested in the ArduPilot SITL (Software In The Loop) simulator to verify its ability to detect fraudulent UAVs. The experiments showed that the scheme achieved the desired accuracy in both flight trajectory measurement and attack detection.

中文翻译：

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用于保护无人驾驶飞行器应用中自动相关监视广播的多点距离边界协议

自动相关监视广播 (ADS-B) 协议正被用于无人驾驶飞行器 (UAV)，作为新兴的多无人机防撞算法的主要信息来源。ADS-B 缺乏安全功能，这使得依赖信息的任何流程都容易受到来自受损和不诚实无人机的各种威胁。这可能会导致财产的重大损失或损坏。本研究提出了一种新的距离边界方案，用于验证来自周围无人机的 ADS-B 广播数据中的距离和飞行轨迹。提议的方案使无人机或地面站能够识别欺诈无人机并避免碰撞。该方案在 ArduPilot SITL（软件在环）模拟器中实施和测试，以验证其检测欺诈无人机的能力。