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Learning-based Power Control for Secure Covert Semantic Communication

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arxiv 2407.07475 v2 pith:MH2ULTEA submitted 2024-07-10 cs.NI

Yansheng Liu , Jinbo Wen , Zongyao Zhang , Kun Zhu , Yang Zhang , Jiangtian Nie , Jiawen Kang This is my paper · ORCID
classification cs.NI
keywords semcomcovertapproachpowersemanticcommunicationcontrollearning-based
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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.

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Cited by 1 Pith paper

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  1. A Survey of Secure Semantic Communications

    cs.CR 2025-01 conditional novelty 3.0 of 10

    A comprehensive survey of security and privacy challenges in semantic communication, categorized by the SemCom life cycle and paired with available defense technologies.

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