A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations

Yi Zhou; Wenhua Zheng; Heng  Liu; Phil Yeoh; Yonghui  Li; Branka  Vucetic; Pingzhi  Fan

doi:10.1109/TVT.2023.3309377

Back

A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations

Journal article

Open access

Peer reviewed

A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations

Yi Zhou, Wenhua Zheng, Heng Liu, Phil Yeoh, Yonghui Li, Branka Vucetic and Pingzhi Fan

IEEE Transactions on Vehicular Technology, Vol.73(1), pp.1053-1064

2024

DOI: https://doi.org/10.1109/TVT.2023.3309377

Files and links (2)

pdf

A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations2.26 MBDownload View

Accepted Version Open Access

url

https://doi.org/10.1109/TVT.2023.3309377View

Published Version

Abstract

false alarm rate

miss detection rate

UAV communications

optimization

Physical layer authentication

In this paper, we present a mobile unmanned aerial vehicle (UAV) aided physical layer authentication (PLA) framework to differentiate between a legitimate transmitter and a malicious adversary based on the physical layer channel characteristics and geographical locations of different transmitters. For a single mobile UAV, we derive new explicit expressions for the probability density function (PDF) of signal-to-noise ratio (SNR) difference, false alarm rate (FAR), and miss detection rate (MDR). Then, we optimize key system parameters including the detection threshold and UAV movement to minimize the MDR subject to a given FAR constraint. Next, we extend the theoretical analysis to consider the double mobile UAVs scenario and derive the PDF of averaged SNR difference, FAR and MDR in closed-form. Monte Carlo simulations verify the accuracy of our derived expressions. Moreover, simulation results demonstrate the effectiveness of our SNR-based solution and highlight the advantages of double UAVs on minimizing the MDR over single UAV.

Details

Title: A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations
Authors: Yi Zhou (Author) - Southwest Jiaotong University
Wenhua Zheng (Author) - University of Macau
Heng Liu (Author) - Southwest Jiaotong University
Phil Yeoh (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Yonghui Li (Author) - The University of Sydney
Branka Vucetic (Author) - The University of Sydney
Pingzhi Fan (Author) - Southwest Jiaotong University
Publication details: IEEE Transactions on Vehicular Technology, Vol.73(1), pp.1053-1064
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2024
DOI: 10.1109/TVT.2023.3309377
ISSN: 1939-9359; 0018-9545
Grants: Ultralow latency wireless systems, FL160100032, Australian Research Council (Australia, Canberra) - ARC
Wireless Cellular Connectivity for Large Scale Critical Applications, DP210103410, Australian Research Council (Australia, Canberra) - ARC
Grant note: 2022QNRC001 / Young Elite Scientists Sponsorship Program; 2022NSFSC0887 / Natural Science Foundation of Sichuan Province; 2023YFG0321 / Sichuan Science and Technology 2682023ZTPY060 and 2682022CX020 / Fundamental Research Funds for the Central Universities; 62271419 and U2268201 / National Natural Science Foundation of China; 2682023GF015 / Fundamental Research Funds for the Central Universities; 62020106001 / NSFC
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99746794502621
Output Type: Journal article

Metrics

71 Record Views