An Implementation-Based Study of the Detection of and Recovery from GPS Spoofing Attacks for Unmanned Aerial Vehicles

Lina Al- Soufi, Talha Demirsoy, Ece Gelal Soyak
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Abstract

Unmanned Aerial Vehicles (UAV) are expected to be a critical component for logistics, agriculture, defense and enabling connectivity for post-5G communications. The utilization of drones in diverse sectors raises concerns about their vulnerability to potential attacks that disrupt or obstruct their operational mechanisms. In this work, we first demonstrate how navigation attacks can compromise a drone’s system, using GPS jamming and spoofing attacks via HackRF One PortaPack Software Defined Radio (SDR) device. Next, we propose a mechanism called “Return-to-Start”, which can protect a drone from loss by responding promptly to such widely spread navigational attacks. We evaluate the effectiveness of our solution through experiments on a Raspberry Pi-based drone we developed. Our experiments validate the robustness of Return-to-Start functionality in a variety of attack scenarios with different durations and GPS geolocations.
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基于实施的无人飞行器 GPS 欺骗攻击检测和恢复研究
无人驾驶飞行器(UAV)有望成为物流、农业、国防和实现 5G 后通信连接的重要组成部分。无人机在不同领域的应用引发了人们对其易受潜在攻击的担忧,这些攻击会破坏或阻碍无人机的运行机制。在这项工作中,我们首先通过 HackRF One PortaPack 软件定义无线电(SDR)设备,利用 GPS 干扰和欺骗攻击,演示了导航攻击如何破坏无人机系统。接下来,我们提出了一种名为 "返回-启动"(Return-to-Start)的机制,它可以通过及时应对这种广泛传播的导航攻击来保护无人机免受损失。我们通过在自己开发的基于树莓派(Raspberry Pi)的无人机上进行实验来评估我们的解决方案的有效性。我们的实验验证了 "返回-启动 "功能在各种不同持续时间和 GPS 地理位置的攻击场景中的稳健性。
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