Robust Bluetooth RF-Fingerprint Identifier Using Wavelet Scattering Network
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
A novel robust Bluetooth radio-frequency (RF) fingerprint identification scheme using wavelet scattering network is introduced in this paper. In this approach, a wavelet scattering network is first established using the Gabor wavelet and then employed to extract the RF fingerprint of the received Bluetooth signal emitted by an electronic device. Finally, the acquired RF fingerprint serves as the feature and the multi-class support vector machine (SVM) with a cubic polynomial kernel is adopted to identify the Bluetooth RF fingerprints emitted from different wireless transmitters. Monte Carlo simulation results demonstrate the effectiveness and superiority of our novel Bluetooth RF-fingerprint identification method.
Publication Source (Journal or Book title)
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
Recommended Citation
Yan, X., Chen, Y., Wang, Q., Wu, H., & Wu, Y. (2023). Robust Bluetooth RF-Fingerprint Identifier Using Wavelet Scattering Network. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2023-June https://doi.org/10.1109/BMSB58369.2023.10211468