Analysis of Augmentation Methods for RF Fingerprinting under Impaired Channels

Author:

Comert Ceren1,Kulhandjian Michel1,Gul Omer Melih1,Touazi Azzedine2,Ellement Cliff2,Kantarci Burak1,D'Amours Claude1

Affiliation:

1. University of Ottawa, Ottawa, ON, Canada

2. thinkRF, Ottawa, ON, Canada

Funder

Ontario Centres of Excellence

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Reference27 articles.

1. E. Ozturk F. Erden and I. Guvenc "RF-based low-SNR classification of UAVs using convolutional neural networks" arXiv online arXiv:2009.05519v2 E. Ozturk F. Erden and I. Guvenc "RF-based low-SNR classification of UAVs using convolutional neural networks" arXiv online arXiv:2009.05519v2

2. Security analysis of drones systems: Attacks, limitations, and recommendations

3. SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication

4. J. Bassey , X. Li , L. Qian , "Device authentication codes based on RF fingerprinting using deep learning" , arvix : 2004 .08742v1, 19 April 2020. J. Bassey, X. Li, L. Qian, "Device authentication codes based on RF fingerprinting using deep learning", arvix: 2004.08742v1, 19 April 2020.

5. Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing

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