UAV-Assisted Covert Communication with Dual-Mode Stochastic Jamming.

Area of Science:

• Wireless Communication
• Cybersecurity
• Robotics

Background:

• Covert communication using unmanned aerial vehicles (UAVs) is crucial for low-detection probability in complex environments.
• Existing methods rely on dynamic trajectory planning and power management.
• The need for enhanced security and reduced detectability in UAV-assisted communication is growing.

Purpose of the Study:

• To propose a dual-UAV scheme for covert communication with enhanced security.
• To introduce a dual-mode jamming strategy to reduce eavesdropping detection probability.
• To maximize the average covert rate (ACR) through joint optimization.

Main Methods:

• A dual-UAV system where one UAV transmits data and the other provides stochastic jamming.
• Development of a dual-mode jamming scheme to improve ACR.
• Joint optimization of UAV flight speeds, accelerations, transmit power, and trajectories.
• Application of successive convex approximation (SCA) to solve complex optimization problems.

Main Results:

• The dual-mode jamming scheme significantly enhances the average covert rate (ACR).
• The proposed algorithm effectively optimizes dual UAV parameters for maximum ACR.
• Numerical results validate the efficacy of the dual-mode jamming and the optimization algorithm.

Conclusions:

• The dual-UAV scheme with dual-mode jamming is effective for covert communication.
• The developed optimization algorithm successfully addresses the complexity of joint parameter tuning.
• This approach offers a significant improvement in covert communication (CC) performance.