A DATASET for GPS Spoofing Detection on Unmanned Aerial System

A dataset of Global Positioning System (GPS) spoofing attacks is presented in this article. This dataset includes data extracted from authentic GPS signals collected using an eight-channel GPS receiver installed on top of a vehicle with a speed ranging from 0 mph to 60 mph emulating the UAS flight, as well as three static positions on top of different buildings (different altitudes) to emulate the UAS hovering operation. During the data collection, 13 features are extracted from eight-parallel channels. In addition to the collected authentic GPS signals, three GPS spoofing attack types were simulated, simplistic, intermediate, and sophisticated attacks.本文发布了一套全球定位系统（GPS）欺骗攻击数据集。该数据集包含两类真实GPS信号采集数据：一类由安装于车辆顶部的八通道GPS接收机采集所得，车辆行驶速度区间为0至60英里每小时，用于模拟无人机系统（Unmanned Aerial System，UAS）的飞行工况；另一类则在不同建筑楼顶的三个静态点位（对应不同海拔高度）采集，用于模拟无人机系统的悬停作业。数据采集阶段，研究人员从八路并行接收通道中提取了13项特征。除上述真实GPS信号外，本次实验还模拟了三类GPS欺骗攻击，分别为简易型、中级型与高级型欺骗攻击。