Mission-oriented secure semantic satellite communication

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-08-19 DOI:10.1016/j.phycom.2025.102806

Han Chen , Yuanhao Li , Bao Feng , Qigong Xu , Xincheng Zhang , Jinghang Zheng , Ji Zhu

{"title":"Mission-oriented secure semantic satellite communication","authors":"Han Chen , Yuanhao Li , Bao Feng , Qigong Xu , Xincheng Zhang , Jinghang Zheng , Ji Zhu","doi":"10.1016/j.phycom.2025.102806","DOIUrl":null,"url":null,"abstract":"<div><div>Satellite communication plays a pivotal role in future 6G networks, and the introduction of semantic communication offers significant advantages such as reduced bandwidth usage and improved task relevance, especially in low Earth orbit (LEO) scenarios. However, the openness of satellite links increases the risk of semantic information being intercepted at the physical layer. To address this challenge, we propose a task-oriented secure image semantic communication scheme tailored for LEO satellite links. The model integrates (<em>i</em>) probabilistic constellation shaping (PCS) to improve robustness against channel noise by adapting symbol distributions to varying conditions, and (<em>ii</em>) 4-weighted-type fractional Fourier transform (4-WFRFT) to enhance physical layer security by introducing order-dependent perturbations that hinder unauthorized decoding. The model is trained to maximize semantic preservation for legitimate receivers while minimizing information gain for potential eavesdroppers. Simulation results on the CIFAR-10 dataset confirm that the proposed scheme maintains high classification accuracy across different signal-to-noise ratios and compression ratios, while significantly reducing the eavesdropper’s ability to recover meaningful content.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102806"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725002095","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

Satellite communication plays a pivotal role in future 6G networks, and the introduction of semantic communication offers significant advantages such as reduced bandwidth usage and improved task relevance, especially in low Earth orbit (LEO) scenarios. However, the openness of satellite links increases the risk of semantic information being intercepted at the physical layer. To address this challenge, we propose a task-oriented secure image semantic communication scheme tailored for LEO satellite links. The model integrates (i) probabilistic constellation shaping (PCS) to improve robustness against channel noise by adapting symbol distributions to varying conditions, and (ii) 4-weighted-type fractional Fourier transform (4-WFRFT) to enhance physical layer security by introducing order-dependent perturbations that hinder unauthorized decoding. The model is trained to maximize semantic preservation for legitimate receivers while minimizing information gain for potential eavesdroppers. Simulation results on the CIFAR-10 dataset confirm that the proposed scheme maintains high classification accuracy across different signal-to-noise ratios and compression ratios, while significantly reducing the eavesdropper’s ability to recover meaningful content.

查看原文本刊更多论文

面向任务的安全语义卫星通信

卫星通信在未来的6G网络中发挥着关键作用，语义通信的引入提供了显著的优势，例如减少带宽使用和提高任务相关性，特别是在低地球轨道（LEO）场景中。然而，卫星链路的开放性增加了语义信息在物理层被截获的风险。为了解决这一挑战，我们提出了一种针对低轨道卫星链路的面向任务的安全图像语义通信方案。该模型集成了(i)概率星座整形（PCS），通过适应不同条件的符号分布来提高对信道噪声的鲁棒性，以及（ii） 4加权型分数傅里叶变换（4-WFRFT），通过引入阶相关扰动来增强物理层安全性，从而阻止未经授权的解码。该模型被训练为最大限度地保留合法接收者的语义，同时最小化潜在窃听者的信息增益。在CIFAR-10数据集上的仿真结果证实，该方案在不同信噪比和压缩比下保持较高的分类精度，同时显著降低了窃听者恢复有意义内容的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.