论文标题
签证 - 通过分析相机的视频流来检测GPS欺骗对无人机的攻击
VISAS -- Detecting GPS spoofing attacks against drones by analyzing camera's video stream
论文作者
论文摘要
在这项研究中，我们提出了一种基于无人机摄像机捕获的视频流，针对针对无人机的GPS欺骗攻击的创新方法。提出的方法从视频流及其位置（GPS）收集帧；通过计算每个帧之间的相关性，我们的方法可以识别对无人机的攻击。我们首先通过在我们开发的飞行模拟器上进行实验，在受控环境中分析建议方法的性能。然后，我们使用DJI无人机分析了其在现实世界中的性能。根据所需的检测间隔，我们的方法可以提供不同级别的安全性，以防止GPS欺骗攻击；例如，在低环境光的条件下，它可以以平均4 km/h的速度在城市区域的高度上飞行50-100米的无人驾驶飞机，以提供高度的安全性；在这种情况下，该方法可以提供一定的安全性，该安全性检测任何GPS欺骗攻击，在该攻击中，欺骗的位置距离实际位置为1-4米（平均2.5米）。
In this study, we propose an innovative method for the real-time detection of GPS spoofing attacks targeting drones, based on the video stream captured by a drone's camera. The proposed method collects frames from the video stream and their location (GPS); by calculating the correlation between each frame, our method can identify an attack on a drone. We first analyze the performance of the suggested method in a controlled environment by conducting experiments on a flight simulator that we developed. Then, we analyze its performance in the real world using a DJI drone. Our method can provide different levels of security against GPS spoofing attacks, depending on the detection interval required; for example, it can provide a high level of security to a drone flying at an altitude of 50-100 meters over an urban area at an average speed of 4 km/h in conditions of low ambient light; in this scenario, the method can provide a level of security that detects any GPS spoofing attack in which the spoofed location is a distance of 1-4 meters (an average of 2.5 meters) from the real location.
