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.本文提出了一套全球定位系统（GPS）欺骗攻击数据集。该数据集包含两部分采集数据：一是通过安装于车辆顶部的八通道GPS接收机采集的真实GPS信号，车辆行驶时速范围为0至60英里每小时，用于模拟无人机系统（Unmanned Aircraft System，UAS）的飞行工况；二是设置于不同建筑物顶部（海拔高度各异）的三个静态点位采集的数据，用于模拟无人机系统悬停作业状态。数据采集阶段，从八个并行信号通道中提取了13项特征参数。除上述采集得到的真实GPS信号外，本次数据集还模拟了三类GPS欺骗攻击：简易型、中级型与复杂型攻击。