Secure Digital Semantic Communications: Fundamentals, Challenges, and Opportunities
Weixuan Chen, Qianqian Yang, Yuanyuan Jia, Junyu Pan, Shuo Shao, Jincheng Dai, Meixia Tao, Ping Zhang

TL;DR
This paper reviews the fundamentals, security challenges, and potential solutions for digital semantic communication systems, emphasizing their vulnerabilities and the need for systematic security analysis.
Contribution
It provides a structured review of secure digital SemCom, highlighting differences from analog SemCom and outlining open research directions.
Findings
Digital SemCom introduces unique vulnerabilities at bit and symbol levels.
Threat landscape includes semantic leakage, manipulation, and protocol attacks.
The paper discusses potential defense mechanisms and future research directions.
Abstract
Semantic communication (SemCom) has emerged as a promising paradigm for future wireless networks by prioritizing task-relevant meaning over raw data delivery, thereby reducing communication overhead and improving efficiency. However, shifting from bit-accurate transmission to task-oriented delivery introduces new security and privacy risks. These include semantic leakage, semantic manipulation, knowledge base vulnerabilities, model-related attacks, and threats to authenticity and availability. Most existing secure SemCom studies focus on analog SemCom, where semantic features are mapped to continuous channel inputs. In contrast, digital SemCom transmits semantic information through discrete bits or symbols within practical transceiver pipelines, offering stronger compatibility with realworld systems while exposing a distinct and underexplored attack surface. In particular, digital…
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