… We consider a UAV-aided secure communication scenario, where the UAV transmitter
serves as the BS to support N ground users in the presence of K eavesdroppers and J UAV …

… secure communication system, where an IRS is deployed to adjust its reflecting elements
to secure the communication of … , a novel deep reinforcement learning (DRL)-based secure …

… -agent deep reinforcement learning approach to achieve the maximum sum secure rate
by designing the dynamic trajectory of each UAV. The proposed multi-agent deep deterministic …

… knowledge about the communication and networking environ… communication overheads
but also improves security and … • Several other problems in communications and networking …

… assisted mmWave communication system … a secure communication system was investigated
in [25]. However, there were only a few studies that analyzed the RIS-aided communication …

… in a dynamic antieavesdropping communication process is … To satisfy the security requirement
of practical VLC systems … beamforming policy domain, deep reinforcement learning (DRL) …

… security, one interest of the community is the development of practical approaches to achieve
reliable and secure communication, … We train the encoder with deep reinforcement learning …

… deep reinforcement learning (DRL), methods have been proposed widely to address these
issues. By incorporating deep … , caching and communications: A deep reinforcement learning …

… In this paper, we propose a Dinkelbach-guided deep reinforcement learning (DRL)
scheme for secure communication in the UAV-aided MEC network. Specifically, the security …

… security and safety threats. Adversaries could potentially hijack control of a swarm by tampering
with the data these sensors and communication … adversarial deep reinforcement learning …