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SemDPLA: Semantic Communication-based Distributed Physical-Layer Authentication for 6G-enabled Dense IoT — arXiv:2609.18986

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.18986
License (as archived): CC0-1.0
Archived: 2026-10-15T18:27:46.800Z
SHA-256 of the archived text: 2882b61b9d39443f333dc43d96b700e97b9659f1f1bf4b01123cc6f91656122e
Stable URL of this page: https://metraipolis.com/documento/dc_e1fa5cc90bf9

How to cite

SemDPLA: Semantic Communication-based Distributed Physical-Layer Authentication for 6G-enabled Dense IoT — arXiv:2609.18986 — arXiv (en), https://arxiv.org/abs/2609.18986 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_e1fa5cc90bf9 (Metraipolis archive dc_e1fa5cc90bf9, sha256 2882b61b9d39443f333dc43d96b700e97b9659f1f1bf4b01123cc6f91656122e)

BibTeX

@misc{dce1fa5cc90bf9,
  title = {SemDPLA: Semantic Communication-based Distributed Physical-Layer Authentication for 6G-enabled Dense IoT — arXiv:2609.18986},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.18986},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_e1fa5cc90bf9; sha256 2882b61b9d39443f333dc43d96b700e97b9659f1f1bf4b01123cc6f91656122e},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.18986. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

With the rapid development of 6G, increasingly dense device connectivity imposes more strict requirements on multi-users Physical-Layer Authentication (PLA). Compared with cryptography-based methods, PLA enables lightweight authentication by using the uniqueness of wireless channels. However, existing PLA schemes in dense wireless scenarios often suffer from weak fingerprint discriminability and limited computation and communication resources. To address these challenges, we propose a Semantic Communication-based Distributed PLA (SemDPLA) framework. The framework constructs fused central semantic Channel State Information (CSI) fingerprints by fusing semantic information from a central node and multiple distributed nodes. Specifically, we introduce semantic communication to reduce the impact of low Signal Noise Ratio (SNR) and the consumption of communication resource during the transmission from distributed nodes to central node. Furthermore, we propose an ArcFace-based classification method and a semantic fingerprint-oriented distributed voting consistency mechanism to enhance device classification accuracy. Simulation results demonstrate that the proposed SemDPLA scheme performs better than single-node authentication, decision fusion, raw-CSI transmission, and feature fusion baselines. It achieves equal error rates (EERs) of 8.6% at 0 dB and 3.4% at 20 dB. It also achieves classification accuracies of 91.4% at 0 dB and above 95.8% from 5 to 20 dB. Moreover, SemDPLA is robust in low SNR environment and under attacks of abnormal nodes.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-17 in eess.SP).
Categorie arXiv: Signal Processing (eess.SP).
Pagina del lavoro: https://arxiv.org/abs/2609.18986 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-15T17:57:11.192Z dalla pagina https://arxiv.org/catchup/eess.SP/2026-09-17?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).