Research on the Identification of IoT Devices Based on Higher-Order Spectra

With the development of wireless communication technology, IoT devices have been widely used in many fields. However, the security of the wireless network is being confronted with a series of new threats and challenges. Radio frequency fingerprinting is a physical-layer method for wireless network security. The higher-order spectra analysis is a powerful tool for non-linear, non-Gaussian processes and non-minimum phase systems. Bispectrum is the simplest higher-order spectra with order 3. In this paper, we studied the feature extraction method based on steady-state signal of wireless devices through 4 integrated bispectrums. An experiment under the real IoT devices working environments has evaluated the performance of the feature extraction method.