The Unmanned Aerial Vehicle often known as UAV plays a central role in providing multifarious services which can be encapsulated under following major categories namely military, research and civil. Various studies have revealed that unlike the military UAV the civil UAV uses unauthenticated, unencrypted and predictable signals and thus can be easily manipulated. With the burgeoning dependency on UAVs for time-critical response operations and many other, there is a need to secure the civil unmanned aerial system which lacks direct human interference. The goal of this paper is to focus on how Global Positioning System (GPS) signal spoofing allows the authentic ground control to change hands with threat actors. Spoofing forces erroneous location to be computed by target receiver by transmitting the counterfeit Global Navigation Satellite System like signals. The intention is to misinform the user about its location. In this paper, the UAVs vulnerability, resulting in complete command and control under the captor's influence, consequent to GPS spoofing, is analyzed and an analysis of the countermeasures to identify spoofing proposed by various researchers is done. While some countermeasures are computationally complex unsuitable for lightweight UAVs there are others that have been experimented on simulators. Very few have been established on real sensor data and have limitations of their own.

中文翻译：

---

无人机对GPS欺骗的脆弱性回顾

通常被称为 UAV 的无人驾驶飞行器在提供多种服务方面发挥着核心作用，这些服务可以封装在以下主要类别中，即军事、研究和民用。各种研究表明，与军用无人机不同，民用无人机使用未经验证、未加密和可预测的信号，因此很容易被操纵。随着对 UAV 的迅速依赖进行时间关键的响应操作和许多其他操作，需要保护缺乏直接人为干扰的民用无人机系统。本文的目标是关注全球定位系统 (GPS) 信号欺骗如何允许真实的地面控制与威胁行为者易手。通过发送伪造的全球导航卫星系统等信号，欺骗迫使目标接收器计算出错误的位置。其目的是误导用户其位置。本文分析了无人机的脆弱性，在捕获者的影响下，由于 GPS 欺骗而导致完全指挥和控制，并对各种研究人员提出的识别欺骗的对策进行了分析。虽然有些对策在计算上很复杂，不适合轻型无人机，但还有一些对策已经在模拟器上进行了试验。很少有人建立在真实的传感器数据上，并且有自己的局限性。分析了在捕获者的影响下完全指挥和控制，从而导致 GPS 欺骗，并对各种研究人员提出的识别欺骗的对策进行了分析。虽然有些对策在计算上很复杂，不适合轻型无人机，但还有一些对策已经在模拟器上进行了试验。很少有人建立在真实的传感器数据上，并且有自己的局限性。分析了在捕获者的影响下完全指挥和控制，从而导致 GPS 欺骗，并对各种研究人员提出的识别欺骗的对策进行了分析。虽然有些对策在计算上很复杂，不适合轻型无人机，但还有一些对策已经在模拟器上进行了试验。很少有人建立在真实的传感器数据上，并且有自己的局限性。