CyberIntel ⬡ News
★ Saved ◆ Cyber Reads
← Back ◬ AI & Machine Learning May 25, 2026

Communication Security and Sensing Privacy in FMCW-Based ISAC Through Signal Modulation

arXiv Security Archived May 25, 2026 ✓ Full text saved

arXiv:2605.23429v1 Announce Type: cross Abstract: This study proposes a novel radar-centric signaling design and architecture for secure integrated sensing and communication (ISAC) systems. The proposed framework is designed to provide robust physical layer security for data transmission while simultaneously enhancing sensing privacy. It employs index modulation and phase coding over frequency-modulated continuous-wave radar (FMCW) chirps, where index modulation (IM) provides an outer layer of d

Full text archived locally
✦ AI Summary · Claude Sonnet


    Electrical Engineering and Systems Science > Signal Processing [Submitted on 22 May 2026] Communication Security and Sensing Privacy in FMCW-Based ISAC Through Signal Modulation Murat Temiz, Christos Masouros This study proposes a novel radar-centric signaling design and architecture for secure integrated sensing and communication (ISAC) systems. The proposed framework is designed to provide robust physical layer security for data transmission while simultaneously enhancing sensing privacy. It employs index modulation and phase coding over frequency-modulated continuous-wave radar (FMCW) chirps, where index modulation (IM) provides an outer layer of data security, and we explicitly design the phase coding (PC) to perturb the resulting signal's ambiguity function (AF) to enhance sensing privacy. This design reduces the risk of unauthorized surveillance by rendering target velocity estimation practically infeasible for unauthorized passive sensing hardware (i.e., a sensing eavesdropper, S-Eve) and significantly impairing its range estimation capabilities. Furthermore, this study also presents the transmitter and receiver architectures required for effective modulation and demodulation of the proposed ISAC signaling and for performing sensing at the legitimate sensing hardware. Simulation results show that the proposed approach achieves high data throughput while enhancing communication security and sensing privacy. Comments: 15 Pages, 13 Figures Subjects: Signal Processing (eess.SP); Cryptography and Security (cs.CR) Cite as: arXiv:2605.23429 [eess.SP]   (or arXiv:2605.23429v1 [eess.SP] for this version)   https://doi.org/10.48550/arXiv.2605.23429 Focus to learn more Submission history From: Murat Temiz [view email] [v1] Fri, 22 May 2026 09:41:54 UTC (1,697 KB) Access Paper: HTML (experimental) view license Current browse context: eess.SP < prev   |   next > new | recent | 2026-05 Change to browse by: cs cs.CR eess References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
    💬 Team Notes
    Article Info
    Source
    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    May 25, 2026
    Archived
    May 25, 2026
    Full Text
    ✓ Saved locally
    Open Original ↗