Learning-based Power Control for Secure Covert Semantic Communication
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913925219483648 |
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| author | Liu, Yansheng Wen, Jinbo Zhang, Zongyao Zhu, Kun Zhang, Yang Nie, Jiangtian Kang, Jiawen |
| author_facet | Liu, Yansheng Wen, Jinbo Zhang, Zongyao Zhu, Kun Zhang, Yang Nie, Jiangtian Kang, Jiawen |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07475 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Learning-based Power Control for Secure Covert Semantic Communication Liu, Yansheng Wen, Jinbo Zhang, Zongyao Zhu, Kun Zhang, Yang Nie, Jiangtian Kang, Jiawen Networking and Internet Architecture 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. |
| title | Learning-based Power Control for Secure Covert Semantic Communication |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2407.07475 |