Most of the existing global positioning system (GPS) spoofing detection schemes are vulnerable to the generative GPS spoofing attack, or require additional auxiliary equipment and extensive signal processing capabilities, leading to defects such as low real-time performance and large communication overhead which are not available for the unmanned aerial vehicle (UAV, also known as drone) system. Therefore, we propose a novel solution which employs information fusion based on the GPS receiver and inertial measurement unit. We use a real-time model of tracking and calculating to derive the current position of the drones which are then contrasted with the position information received by the receiver to verify whether the presence or absence of spoofing attack. Subsequent experimental work shows that, the proposed method can accurately detect the spoof within 8 seconds, with a detection rate (DR) of 98.6%. Compared with the existing schemes, the performance of real-time detecting is improved while the DR is ensured. Even in our worst-case, we detect the spoof within 28 seconds after the UAV system starts its mission.

中文翻译：

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无人机系统全球定位系统欺骗攻击检测

现有的全球定位系统（GPS）欺骗检测方案大多容易受到生成式GPS欺骗攻击，或者需要额外的辅助设备和广泛的信号处理能力，导致实时性能低、通信开销大等缺陷，这些都是无法做到的。可用于无人驾驶飞行器（UAV，也称为无人机）系统。因此，我们提出了一种新颖的解决方案，该解决方案采用基于 GPS 接收器和惯性测量单元的信息融合。我们使用实时跟踪和计算模型来得出无人机的当前位置，然后将其与接收器接收到的位置信息进行对比，以验证是否存在欺骗攻击。随后的实验工作表明，所提出的方法可以在8秒内准确检测出欺骗，检测率（DR）为98.6%。与现有方案相比，在保证DR的同时，提高了实时检测的性能。即使在最坏的情况下，我们也会在无人机系统开始执行任务后 28 秒内检测到欺骗行为。