Secure Communications with THz Reconfigurable Intelligent Surfaces and Deep Learning in 6G Systems

In anticipation of the 6G era, this paper explores the integration of terahertz (THz) communications with Reconfigurable Intelligent Surfaces (RIS) and deep learning to establish a secure wireless network capable of ultra-high data rates. Addressing the non-convex challenge of maximizing secure energy efficiency, we introduce a novel deep learning framework that employs a variety of neural network architectures for optimizing RIS reflection and beamforming. Our simulations, set against scenarios with varying eavesdropper cooperation, confirm the efficacy of the proposed solution, achieving 97% of the optimal performance benchmarked against a genie-aided model. This research underlines a significant advancement in 6G network security, potentially influencing future standards and laying the groundwork for practical deployment, thereby marking a milestone in the convergence of THz technology, intelligent surfaces, and AI for future-proof secure communications.