Unmanned aerial vehicle secure communication algorithm based on Stackelberg secure game theory

The drone communication network is highly susceptible to interference and hacker attacks, and the routing links and paths are inherently unstable. At the same time, the drone swarm communication network does not rely on fixed infrastructure or has limited infrastructure, and there is no secure and trustworthy central node. In order to enhance the security and efficiency of drone communication, and ensure stable and reliable information transmission and interaction in complex environments, a drone security communication algorithm based on Stackelberg security game is proposed. On the basis of NOMA, a UAV secure communication scheme assisted by artificial noise is designed, which introduces artificial interference noise to achieve secure transmission of UAV secure communication and improve communication security. Considering the game problem between unmanned aerial vehicle communication network nodes and friendly interferers, the Stackelberg secure game is used to solve the game problem between two source nodes and friendly interferers. The expressions of the payment functions of both parties in the game are derived to obtain the equilibrium point and improve the communication transmission rate. The experimental results show that under different interference intensities, the proposed method has a high average confidentiality rate for signal transmission and a high transmission rate, ensuring efficient and secure communication of unmanned aerial vehicles.