生成式AI赋能的安全通信:内生安全到主动防御OA

The continuous evolution of intelligent and adaptive threats poses severe challenges to the physical layer security of communication systems.Constructing a secure signal processing mechanism with robustness,predictability,and proactivity is an important foundation for achieving trustworthy communications.To promote the development of generative artificial intelligence(GAI)-empowered secure communication technologies,based on a systematic review of existing studies,the theoretical foundations,key mechanisms,and application progress of GAI in secure communications were analyzed and summarized.First,GAI was formalized as a learning-based signal prior for solving inverse problems at the physical layer.Based on this generative prior,endogenous vulnerabilities could be mitigated;physical layer stability was improved,and a reliable security baseline was established through channel prediction,channel state information completion,and hardware distortion correction.Furthermore,a three-layer proactive defense framework composed of intelligent threat perception,dynamic adversarial game,and covert waveform generation based on noise alignment was constructed.Finally,the key challenges and development directions of GAI-empowered secure communications were prospected,including real-time inference latency,the simulation-to-reality performance gap,the introduction of physics-informed constraints,security digital twins,and the construction of autonomous security agents,and the significance of establishing a unified theoretical perspective and an actionable design paradigm for future research was emphasized.