Physical Layer Authentication With Channel Knowledge Maps in Indoor Environments

Computer Science > Cryptography and Security [Submitted on 25 Jun 2026] Physical Layer Authentication With Channel Knowledge Maps in Indoor Environments Luca Bonaventura, Francesco Ardizzon, Stefano Tomasin Physical layer authentication (PLA) allows to authenticate the user by comparing measurements over time, assuming their time consistency or by modeling their evolution. However, these assumptions become problematic when devices are in motion and in indoor environments due to multipath propagation and obstructions. In this paper, we propose a PLA mechanism for moving devices in indoor environments, where multiple access points (APs) estimate the dominant channel tap path loss (PL) and angle of arrival (AoA) from the received signals and compare them with previously collected channel knowledge maps (CKMs). Specifically, the measurements are compared to those in the neighborhood of the previously known position obtained from CKMs. A comprehensive security analysis is conducted under both random and optimal attacks. Numerical results in a representative indoor scenario, with CKM obtained via ray tracing, validate the effectiveness of the proposed PLA approach. Comments: Presented at VTC Spring 2026 Subjects: Cryptography and Security (cs.CR); Signal Processing (eess.SP) Cite as: arXiv:2606.27044 [cs.CR]   (or arXiv:2606.27044v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2606.27044 Focus to learn more Submission history From: Francesco Ardizzon [view email] [v1] Thu, 25 Jun 2026 13:51:04 UTC (500 KB) Access Paper: view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-06 Change to browse by: cs eess eess.SP 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?)