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A Lightweight Security Technique For Unmanned Aerial Vehicles Against GPS Spoofing Attack

机译：无人驾驶飞机对GPS欺骗攻击的轻量级安全技术

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摘要

The use of Unmanned Aerial Vehicles (UAVs) in military and civil applications is increased in recent years. These UAVs are generally equipped with a set of sensors and follow a predefined trajectory. The regions of deployment are usually hostile environments and inaccessible such as disaster zone or military fields. Therefore, to accomplish their mission, the UAVs need to communicate with each other, with the Ground Control Station (GCS) and with the navigation satellite system. Through these infrastructures, the UAVs are prone and vulnerable to various cyber-attacks such as GPS spoofing. This attack can be launched easily by an attacker using a simple transmitter by broadcasting fake and wrong GPS signals. These signals can mislead UAVs that receive them from their initial trajectory. In order to ensure the predefined UAV's mission, detecting GPS spoofing attacks is a real challenge and permits to get a high level of flight security, high reliability, and schedule maintenance in time. In this research, we model this issue using a Bayesian network in order to detect this type of attack, and then, the model analyzes and detects the fake GPS signal data. The preliminary results that our proposal provides are promising in terms of a set of metrics.
机译：近年来，在军事和民用应用中使用无人驾驶航空公司（无人机）。这些无人机通常配备一组传感器，并遵循预定义的轨迹。部署区域通常是敌对的环境和灾区或军事领域的难以访问。因此，为了完成他们的使命，无人机需要彼此通信，地面控制站（GCS）和导航卫星系统。通过这些基础架构，无人机易于和易受GPS欺骗等各种网络攻击的影响。通过广播假和错误的GPS信号，可以通过攻击者轻松推出此攻击。这些信号可以误导从其初始轨迹接收它们的无人机。为了确保预定义的UAV的使命，检测GPS欺骗攻击是一个真正的挑战，并允许获得高水平的飞行安全性，高可靠性和时间安排维护。在本研究中，我们使用贝叶斯网络模拟此问题以检测这种类型的攻击，然后，模型分析并检测假GPS信号数据。我们的提案提供的初步结果在一系列指标方面都有前景。

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