The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized drones is a significant problem which received attention in the last few years. In this paper, we present our experimental work on three drone detection methods (i.e., acoustic detection, radio frequency (RF) detection, and visual detection) to evaluate their efficacy in both indoor and outdoor environments. Owing to the limitations of these schemes, we present a novel encryption-based drone detection scheme that uses a two-stage verification of the drone's received signal strength indicator (RSSI) and the encryption key generated from the drone's position coordinates to reliably detect an unauthorized drone in the presence of authorized drones.

翻译：无人驾驶航空器数目的增加对公共隐私、关键基础设施和网络安全构成若干威胁,因此,探测未经许可的无人驾驶飞机是一个重大问题,在过去几年中引起了人们的注意。本文介绍了我们关于三种无人驾驶飞机探测方法(即声波探测、无线电频率探测和视觉探测)的实验工作,以评估无人驾驶飞机在室内和室外环境中的功效。由于这些计划的局限性,我们提出了一个新的加密无人驾驶飞机探测计划,对无人驾驶飞机收到的信号强度指标(RSSI)和无人驾驶飞机位置坐标生成的加密钥匙进行两阶段核查,以便在获得授权的无人驾驶飞机在场的情况下可靠地探测未经许可的无人驾驶飞机。