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arXiv AI By Parsa Rajabi, Mohammad Reza Abedi, Nader Mokari, Paeiz Azmi, Halim Yanikomeroglu

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning

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The paper introduces SAFA-MZ, a secure adaptive framework for physical‑layer authentication in non‑terrestrial networks. It fuses multiple spatial, angular, combiner, subspace, and Doppler‑delay features into a distributed fingerprint and employs a causal meta‑learning strategy with invariant risk minimization to adapt quickly to new environments. A two‑stage authentication process combines local recognition with selective TDOA localization using a graph attention network, reducing backhaul overhead while achieving 92% accuracy and 96% AUC in simulations.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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