Enhanced Security-Aware Beamforming and Trajectory Design for UAV-Assisted Integrated Sensing and Communication

Integrated Sensing and Communication (ISAC) en-ables simultaneous sensing and communication functions and is regarded as a cutting-edge technology for future mobile networks. In this paper, we propose a UAV-enabled joint sensing and communication (ISAC) system, where the UAV serves as a base station. In the presence of eavesdroppers, the system aims to ensure that multiple sensing targets are effectively illuminated while maximizing the sum of achievable secrecy rates for multiple communication users under secure communication constraints. To achieve this, we develop a solution based on alternating optimization (AO) and successive convex approximation (SCA). Simulation results validate the effectiveness of the proposed method, demonstrating its ability to balance communication and sensing requirements while significantly enhancing communication security.