Semi-Decentralized Model for Drone Collaboration on Secure Measurement of Positions

The importance of drone use is increasing in all fields due to several characteristics and advantages they provide, such as saving lives, quality imaging, and being easily controllable. In addition, Unmanned Aerial Vehicle (UAV) prices are going to decrease, this has contributed greatly to an increase in demand for them. However, many challenges face the widespread use of UAVs. One of the most important challenges is his vulnerability to hacking. This paper presents a semi-decentralized collaboration model for the secure measurement of drone positions. The proposed model is based on choosing a leader for each specified period of time by a lightweight consensus algorithm. The leader gets his position using satellites, other drone team members are based on the leader’s safe position to find their locations in a way that is immune to GPS spoofing. Our proposal study shows the extent of the security level it provides against spoofing attacks.

• unmanned aerial vehicles
• GPS spoofing
• leader election
• satellite positioning
• UAV security

• Distributed Control Multi-Agent Systems
• GNSS positioning and interference
• UAV Applications and Optimization
• unmanned aerial vehicles
• GPS spoofing
• leader election
• satellite positioning
• UAV security
• Computer Networks and Communications
• Aerospace Engineering
• Computer Science
• Engineering