A Survey of Secure Semantic Communications
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arXiv
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| Hauptverfasser: | , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908284728901632 |
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| author | Meng, Rui Gao, Song Fan, Dayu Gao, Haixiao Wang, Yining Xu, Xiaodong Wang, Bizhu Lv, Suyu Zhang, Zhidi Sun, Mengying Han, Shujun Dong, Chen Tao, Xiaofeng Zhang, Ping |
| author_facet | Meng, Rui Gao, Song Fan, Dayu Gao, Haixiao Wang, Yining Xu, Xiaodong Wang, Bizhu Lv, Suyu Zhang, Zhidi Sun, Mengying Han, Shujun Dong, Chen Tao, Xiaofeng Zhang, Ping |
| contents | Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aiming to transcend the constraints of ``Shannon's trap" by filtering out redundant information and extracting the core of effective data. Compared to traditional communication paradigms, SemCom offers several notable advantages, such as reducing the burden on data transmission, enhancing network management efficiency, and optimizing resource allocation. Numerous researchers have extensively explored SemCom from various perspectives, including network architecture, theoretical analysis, potential technologies, and future applications. However, as SemCom continues to evolve, a multitude of security and privacy concerns have arisen, posing threats to the confidentiality, integrity, and availability of SemCom systems. This paper presents a comprehensive survey of the technologies that can be utilized to secure SemCom. Firstly, we elaborate on the entire life cycle of SemCom, which includes the model training, model transfer, and semantic information transmission phases. Then, we identify the security and privacy issues that emerge during these three stages. Furthermore, we summarize the techniques available to mitigate these security and privacy threats, including data cleaning, robust learning, defensive strategies against backdoor attacks, adversarial training, differential privacy, cryptography, blockchain technology, model compression, and physical-layer security. Lastly, this paper outlines future research directions to guide researchers in related fields. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_00842 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Survey of Secure Semantic Communications Meng, Rui Gao, Song Fan, Dayu Gao, Haixiao Wang, Yining Xu, Xiaodong Wang, Bizhu Lv, Suyu Zhang, Zhidi Sun, Mengying Han, Shujun Dong, Chen Tao, Xiaofeng Zhang, Ping Cryptography and Security Image and Video Processing Signal Processing Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aiming to transcend the constraints of ``Shannon's trap" by filtering out redundant information and extracting the core of effective data. Compared to traditional communication paradigms, SemCom offers several notable advantages, such as reducing the burden on data transmission, enhancing network management efficiency, and optimizing resource allocation. Numerous researchers have extensively explored SemCom from various perspectives, including network architecture, theoretical analysis, potential technologies, and future applications. However, as SemCom continues to evolve, a multitude of security and privacy concerns have arisen, posing threats to the confidentiality, integrity, and availability of SemCom systems. This paper presents a comprehensive survey of the technologies that can be utilized to secure SemCom. Firstly, we elaborate on the entire life cycle of SemCom, which includes the model training, model transfer, and semantic information transmission phases. Then, we identify the security and privacy issues that emerge during these three stages. Furthermore, we summarize the techniques available to mitigate these security and privacy threats, including data cleaning, robust learning, defensive strategies against backdoor attacks, adversarial training, differential privacy, cryptography, blockchain technology, model compression, and physical-layer security. Lastly, this paper outlines future research directions to guide researchers in related fields. |
| title | A Survey of Secure Semantic Communications |
| topic | Cryptography and Security Image and Video Processing Signal Processing |
| url | https://arxiv.org/abs/2501.00842 |