SREC: Encrypted Semantic Super-Resolution Enhanced Communication
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866912571863334912 |
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| author | Zhang, Zhidi Meng, Rui Gao, Song Gao, Haixiao Xu, Xiaodong |
| author_facet | Zhang, Zhidi Meng, Rui Gao, Song Gao, Haixiao Xu, Xiaodong |
| contents | Semantic communication (SemCom), as a typical paradigm of deep integration between artificial intelligence (AI) and communication technology, significantly improves communication efficiency and resource utilization efficiency. However, the security issues of SemCom are becoming increasingly prominent. Semantic features transmitted in plaintext over physical channels are easily intercepted by eavesdroppers. To address this issue, this paper proposes Encrypted Semantic Super-Resolution Enhanced Communication (SREC) to secure SemCom. SREC uses the modulo-256 encryption method to encrypt semantic features, and employs super-resolution reconstruction method to improve the reconstruction quality of images. The simulation results show that in the additive Gaussian white noise (AWGN) channel, when different modulation methods are used, SREC can not only stably guarantee security, but also achieve better transmission performance under low signal-to-noise ratio (SNR) conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_04787 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SREC: Encrypted Semantic Super-Resolution Enhanced Communication Zhang, Zhidi Meng, Rui Gao, Song Gao, Haixiao Xu, Xiaodong Signal Processing Semantic communication (SemCom), as a typical paradigm of deep integration between artificial intelligence (AI) and communication technology, significantly improves communication efficiency and resource utilization efficiency. However, the security issues of SemCom are becoming increasingly prominent. Semantic features transmitted in plaintext over physical channels are easily intercepted by eavesdroppers. To address this issue, this paper proposes Encrypted Semantic Super-Resolution Enhanced Communication (SREC) to secure SemCom. SREC uses the modulo-256 encryption method to encrypt semantic features, and employs super-resolution reconstruction method to improve the reconstruction quality of images. The simulation results show that in the additive Gaussian white noise (AWGN) channel, when different modulation methods are used, SREC can not only stably guarantee security, but also achieve better transmission performance under low signal-to-noise ratio (SNR) conditions. |
| title | SREC: Encrypted Semantic Super-Resolution Enhanced Communication |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.04787 |