论文标题
无人驾驶汽车挑战中信任监控的实时框架
Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles
论文作者
论文摘要
无人驾驶汽车（UAV）越来越多地用于各种平民和军事应用，例如遥感，边境巡逻，灾难监测和通信范围扩展。但是，仍然容易出现多种网络攻击，例如GPS欺骗攻击，分布式拒绝服务（DDOS）攻击以及中间攻击，以获取其收集的信息或执行无人机以执行其要求的行动，以损害UAV或周围的环境，甚至损害了人类在运营领域的安全性。在本文中，我们提出了一种信任监控机制，其中集中式单元（例如地面站）定期观察无人机的运动路径，消耗能量以及完成任务的数量并衡量无人机以实时方式检测任何异常行为的相对信任得分。我们的仿真结果表明，信任模型可以检测到恶意无人机，这些无人机可能会在各种网络安全攻击下，例如洪水攻击，中间攻击，GPS实时欺骗攻击。
Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and communication coverage extension. However, there are still prone to several cyber attacks such as GPS spoofing attacks, distributed denial-of-service (DDoS) attacks, and man-in-the-middle attacks to obtain their collected information or to enforce the UAVs to perform their requested actions which may damage the UAVs or their surrounding environment or even endanger the safety of human in the operation field. In this paper, we propose a trust monitoring mechanism in which a centralized unit (e.g. the ground station) regularly observe the behavior of the UAVs in terms of their motion path, their consumed energy, as well as the number of their completed tasks and measure a relative trust score for the UAVs to detect any abnormal behaviors in a real-time manner. Our simulation results show that the trust model can detect malicious UAVs, which can be under various cyber-security attacks such as flooding attacks, man-in-the-middle attacks, GPS spoofing attack in real-time.
