Dataset Entries from this Author
We present a novel dataset for LoRa device authentication using Radio Frequency Fingerprinting (RFFI), addressing IoT security challenges in resource-constrained environments. Our dataset captures hardware-specific signal characteristics from 23 LoRa devices through three complementary representations: raw IQ samples, FFT spectra, and time-frequency spectrograms. Collected using a USRP B200 receiver with GPS synchronization, the data incorporates both coarse and fine Carrier Frequency Offset (CFO) estimations for enhanced feature analysis.
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