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基于信道容量约束的物理层安全语义通信 认领

Physical Layer Secure Semantic Communication Based on Channel Capacity Constraints
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摘要 随着人工智能技术的突破,语义通信成为6G通信网络关键研究方向,但无线信道的广播特性带来隐私风险,亟需强安全的解决方案。现有方案多依赖网络层加密,存在操作复杂、密钥泄露等隐患,而物理层安全可利用信道时变性与随机性规避复杂密...展开更多 With advancements in artificial intelligence,semantic communication has emerged as a key research direction for 6G networks.However,the broadcast nature of wireless channels introduces privacy risks,necessitating secure solutions.Existing methods often rely on network-l...MORE With advancements in artificial intelligence,semantic communication has emerged as a key research direction for 6G networks.However,the broadcast nature of wireless channels introduces privacy risks,necessitating secure solutions.Existing methods often rely on network-layer encryption,which suffers from operational complexity and potential key leakage.Physical layer security,leveraging the channel's time-variation and randomness,can circumvent complex cryptographic mechanisms.In response,this paper proposes a physical layer secure semantic communication framework based on channel capacity constraints.The core design goal is to maximize the legitimate channel's capacity while restricting the overall security capacity to a predefined threshold.A differentiable mutual information estimator is introduced to construct a dual-channel capacity estimation model that includes both legitimate users and eavesdroppers,which can be jointly optimized with the semantic communication system.Additionally,an innovative security sentence similarity metric is proposed to quantify the security performance of semantic communication.Simulation resullts demonstrate that the proposed scheme significantly enhances communication security at the cost of a slight decrease in transmission accuracy.FEWER
作者 刘宇翔 王旭 施政 王金涛 杨光华 马少丹 LIU Yuxiang;WANG Xu;SHI Zheng;WANG Jintao;YANG Guanghua;MA Shaodan(The School of Intelligent Systems Science and Engineering,Jinan University,Zhuhai 519070,China;State Key Laboratory of Internet of Things for Smart City,University of Macao,Macao 999078,China)
机构地区 暨南大学智能科学与工程学院 澳门大学智慧城市物联网国家重点实验室
出处 《移动通信》 2026年第1期35-43,共9页 Mobile Communications
基金 国家自然科学基金面上项目“面向超可靠低延时通信的叉包HARQ传输理论与方法”“智能反射面辅助的安全通信理论与关键技术研究”(62171200,62171201) 国家自然科学基金国际(地区)合作与交流项目“AI驱动的6G无线智能空口传输理论与关键技术”(62261160650) 广东省自然科学基金面上项目“叉包HARQ辅助太赫兹通信的传输理论和方法研究”(2023A1515010900) 中央高校基本科研业务费项目“基于深度学习的端到端语义通信可靠性研究”(21625361) 高校青年教师科研创新能力支持项目(SRICSPYF-BS2025134) 暨南大学研究生拔尖创新人才项目资助(2025CXY358)。
关键词 语义通信 物理层安全 信道容量 互信息估计 semantic communication physical layer security channel capacity mutual information estimation
分类号 TN918 [电子电信—通信与信息系统]
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移动通信
2026年 第1期
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