The existing radio frequency fingerprinting technique lacks theoretical support and cannot get rid of the suspicion of identifying the process of device identification with the help of channel features.In this paper

a radio frequency fingerprint extraction method based on spread spectrum reduction is proposed for ZigBee signals with direct sequence spread spectrum.The method achieves device classification accuracy up to 99.8% on 60 ZigBee devices and in four different experimental scenarios.The method is more robust and less computationally intensive

making it highly practical.