SOURCE-LINKED INTELLIGENCE
FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection
Unauthorized hardware replacement can preserve a wireless device's logical identity while altering its physical implementation, posing a challenge to hardware integrity verification. Spatio-frequency polarization fingerprints (SFPFs) capture device-dependent responses across multiple frequencies and directions, but their frequency and spatial dimensions exhibit different structural dependencies. We propose FreqSpaNet, an SFPF representation learning network for open set hardware anomaly detection. A frequency branch captures local variations among neighboring frequencies, while a geometry-awar
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T17:32:12.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.