Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices

Guanxiong Shen,Junqing Zhang,Alan Marshall,Mikko Valkama,Joseph Cavallaro

2021 55th Asilomar Conference on Signals, Systems, and Computers（2021）

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摘要

Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by analyzing the received signal distortions caused by the intrinsic hardware impairments. The state-of-the-art deep learning techniques such as convolutional neural network (CNN) have been adopted to classify IoT devices with high accuracy. However, deep learning-based RFFI requires input data of a fixed size...

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关键词

Performance evaluation,Wireless communication,System performance,Fingerprint recognition,Transformers,Convolutional neural networks,Security

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