T-PRIME introduces a novel approach to protocol identification using Transformers, outperforming legacy methods under low SNR conditions. The study includes detailed evaluations, dataset releases, and real-time implementation insights.
The research addresses challenges in wireless spectrum management and security through advanced machine learning techniques. T-PRIME demonstrates significant improvements in classification accuracy for WiFi protocols, even in overlapping scenarios.
The study emphasizes the importance of adapting ML models for real-time deployment on edge devices like SDRs. By releasing datasets and code, the authors promote community use and further advancements in wireless signal processing.
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