Open Access
ARTICLE
Multi-UAV Cooperative GPS Spoofing Based on YOLO Nano
Yongjie Ding1, Zhangjie Fu1,2,*
1
Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
2
College of Information Science and Technology, College of Cyber Security, Jinan University, Guangzhou, 510632, China
* Corresponding Author: Zhangjie Fu. Email:
Journal of Cyber Security 2021, 3(2), 69-78. https://doi.org/10.32604/jcs.2021.019105
Received 02 April 2021; Accepted 06 April 2021; Issue published 02 August 2021
Abstract
In recent years, with the rapid development of the drone industry,
drones have been widely used in many fields such as aerial photography, plant
protection, performance, and monitoring. To effectively control the unauthorized
flight of drones, using GPS spoofing attacks to interfere with the flight of drones
is a relatively simple and highly feasible attack method. However, the current
method uses ground equipment to carry out spoofing attacks. The attack range is
limited and the flexibility is not high. Based on the existing methods, this paper
proposes a multi-UAV coordinated GPS spoofing scheme based on YOLO Nano,
which can launch effective attacks against target drones with autonomous
movement: First, a single-attack drone based on YOLO Nano is proposed. The
target tracking scheme achieves accurate tracking of the target direction on a
single-attack drone; then, based on the single-UAV target tracking, a multi-attack
drone coordinated target tracking scheme based on the weighted least squares
method is proposed to realize the target drone Finally, a new calculation method
for false GPS signals is proposed, which adaptively adjusts the flight trajectory
of the attacking drone and the content of the false GPS signal according to the
autonomous movement of the target drone.
Keywords
Cite This Article
Y. Ding and Z. Fu, "Multi-uav cooperative gps spoofing based on yolo nano,"
Journal of Cyber Security, vol. 3, no.2, pp. 69–78, 2021.