无人机路径偏离攻击:调查和研究挑战

Francesco Betti Sorbelli, M. Conti, M. C. Pinotti, Giulio Rigoni
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引用次数: 6

摘要

最近,无人驾驶飞行器(uav)被用于大量的民用应用。这种飞行器可以在一个遥控器的范围内,在飞行员的视线范围内完成任务,也可以根据预先加载的路径配置自动完成任务。恶意用户可以对无人机实施不同的路径偏差攻击。我们根据无人机的飞行模式,即(i)第一人称视角(FPV), (ii)民用全球导航卫星系统(GNSS), (iii) GNSS“+”辅助技术(GNSS+),以及多重性,即(i)单架无人机和(ii)多架无人机,对此类攻击和相关防御进行分类。我们发现在确保FPV飞行模式不受路径偏差影响方面做得很少。在GNSS模式下,欺骗是最令人担忧的攻击。防止欺骗的最佳防御似乎是冗余,例如在单个无人机上添加视觉芯片或使用多个排列的无人机。在文献中没有发现GNSS+或无人机在没有预先订购安排的情况下成群移动的具体攻击和防御。这些方面需要进一步调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAVs Path Deviation Attacks: Survey and Research Challenges
Recently, Unmanned Aerial Vehicles (UAVs) are employed for a plethora of civilian applications. Such flying vehicles can accomplish tasks under the pilot’s eyesight within the range of a remote controller, or autonomously according to a certain pre-loaded path configuration. Different path deviation attacks can be performed by malicious users against UAVs. We classify such attacks and the relative defenses based on the UAV’s flight mode, i.e., (i) First Person View (FPV), (ii) civilian Global Navigation Satellite System based (GNSS), and (iii) GNSS "plus" auxiliary technologies (GNSS+), and on the multiplicity, i.e., (i) Single UAV, and (ii) Multiple UAVs. We found that very little has been done to secure the FPV flight mode against path deviation. In GNSS mode, spoofing is the most worrisome attack. The best defense against spoofing seems to be redundancy, such as adding vision chips to single UAV or using multiple arranged UAVs. No specific attacks and defenses have been found in literature for GNSS+ or for UAVs moving in group without a pre-ordered arrangement. These aspects require further investigation.
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