Learning-based Power Control for Secure Covert Semantic Communication

2024/07/10 by Yansheng Liu, Jinbo Wen, Liu, Yansheng +8 · 3 citations
Computer Science · #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Networking and Internet Architecture (cs.NI)

paper · pdf · doi:10.48550/arxiv.2407.07475

openalex publication_date 2024/07/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Despite progress in semantic communication (SemCom), research on SemCom security is still in its infancy. To bridge this gap, we propose a general covert SemCom framework for wireless networks, reducing eavesdropping risk. Our approach transmits semantic information covertly, making it difficult for wardens to detect. Given the aim of maximizing covert SemCom performance, we formulate a power control problem in covert SemCom under energy constraints. Furthermore, we propose a learning-based approach based on the soft actor-critic algorithm, optimizing the power of the transmitter and friendly jammer. Numerical results demonstrate that our approach effectively enhances the performance of covert SemCom.

Cited by

• Semantic Radio Access Networks: Architecture, State-of-the-Art, and Future Directions
• SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication
• Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication

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