论文标题
未经授权的无人机检测：实验和原型
Unauthorized Drone Detection: Experiments and Prototypes
论文作者
论文摘要
无人驾驶飞机数量的增加，即无人机对公共隐私，关键基础设施和网络安全构成了几个威胁。因此，检测未经授权的无人机是一个重大问题，在过去几年中受到了关注。在本文中，我们介绍了有关三种无人机检测方法（即声检测，射频（RF）检测和视觉检测）的实验工作，以评估其在室内和室外环境中的功效。由于这些方案的局限性，我们提出了一种新型的基于加密的无人机检测方案，该方案使用了对无人机接收的信号强度指示器（RSSI）的两阶段验证，以及从无人机的位置坐标产生的加密密钥，以可靠地检测到未经授权的无人机在授权无人机的情况下。
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.
