Identification de personnes par transformateur via les perturbations d'amplitude et de phase du CSI Wi-Fi

Key Points

• To explore how amplitude and phase disturbances in CSI Wi-Fi can be used for identifying individuals.
• Utilized transformer models to analyze CSI data.
• Collected data from Wi-Fi signals under varying conditions.
• Evaluated disturbance patterns in amplitude and phase.
• Successfully identified individuals based on unique CSI patterns.
• Demonstrated that both amplitude and phase disturbances contribute to accurate identification.
• Found that transformer models outperformed traditional methods in this context.