In recent years, drone delivery, which utilizes unmanned aerial vehicles (UAVs) for package delivery and pickup, has gradually emerged as a crucial method in logistics. Since delivery drones are expensive and may carry valuable packages, they must maintain a safe distance from individuals until user-drone mutual authentication is confirmed. Despite numerous authentication schemes being developed, existing solutions are limited in authentication distance and lack resilience against sophisticated attacks. To this end, we introduce SyncGait, an implicit gait-based mutual authentication system for drone delivery. SyncGait leverages the user's unique arm swing as he walks toward the drone to achieve mutual authentication without requiring additional hardware or specific authentication actions. We conducted extensive experiments on 14 datasets collected from 31 subjects. The results demonstrate that SyncGait achieves an average accuracy of 99.84\% at a long distance ($>18m$) and exhibits strong resilience against various spoofing attacks, making it a robust, secure, and user-friendly solution in real-world scenarios.

翻译：近年来，利用无人飞行器进行包裹投递与收取的无人机配送已逐渐成为物流领域的关键方式。由于配送无人机造价昂贵且可能承载贵重包裹，在用户与无人机完成双向身份认证前，必须与人员保持安全距离。尽管已有多种身份认证方案被提出，现有解决方案在认证距离上存在局限，且缺乏对复杂攻击的抵御能力。为此，我们提出SyncGait——一种基于隐式步态的无人机配送双向身份认证系统。SyncGait利用用户走向无人机时独特的摆臂动作实现双向认证，无需额外硬件或特定认证动作。我们在来自31位受试者的14个数据集上进行了大量实验。结果表明，SyncGait在远距离（>18米）条件下平均准确率达99.84%，并对多种欺骗攻击展现出强鲁棒性，使其成为现实场景中可靠、安全且用户友好的解决方案。