A Vision-Based GPS-Spoofing Detection Method for Small UAVs

被引：56

作者：

Qiao, Yinrong ^{[1
]}

Zhang, Yuxing ^{[1
]}

Du, Xiao ^{[1
]}

机构：

[1] East China Normal Univ, Sch Comp Sci & Software Engn, Shanghai, Peoples R China

来源：

2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2017年

关键词：

UAVs; GPS-spoofing detection; fusion; monocular camera; SLAM;

D O I：

10.1109/CIS.2017.00074

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, consumer-class UAVs have come into public view and cyber security starts to attract the attention of researchers and hackers. The tasks of positioning, navigation and return-to-home (RTH) of UAV heavily depend on GPS. However, the signal structure of civil GPS used by UAVs is completely open and unencrypted, and the signal received by ground devices is very weak. As a result, GPS signals are vulnerable to jamming and spoofing. The development of software define radio (SDR) has made GPS-spoofing easy and costless. GPS-spoofing may cause UAVs to be out of control or even hijacked. In this paper, we propose a novel method to detect GPS-spoofing based on monocular camera and IMU sensor of UAV. Our method was demonstrated on the UAV of DJI Phantom 4.

引用

页码：312 / 316

页数：5