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Explores security risks and countermeasures in semantic communication networks, highlighting future challenges.
Semantic communication (SemCom) has emerged as a pivotal advancement in communication systems by focusing on the transmission of task-relevant meaning rather than raw data. This paradigm shift enables efficient communication for intelligent systems but also introduces new security and privacy risks. This paper explores these risks, reviews state-of-the-art countermeasures, and identifies key challenges and future directions in ensuring secure and private semantic communication. By addressing these issues, SemCom can fulfill its potential in domains such as healthcare, IoT, and autonomous systems.
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Tuan et al. (2025) studied this question.
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