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Game Theoretic Physical Layer Authentication for Spoofing Detection in UAV Communications.

Authors :
Zhou, Yi
Yeoh, Phee Lep
Kim, Kyeong Jin
Ma, Zheng
Li, Yonghui
Vucetic, Branka
Source :
IEEE Transactions on Vehicular Technology. Jun2022, Vol. 71 Issue 6, p6750-6755. 6p.
Publication Year :
2022

Abstract

In this paper, we propose a game theoretic framework for secure physical layer authentication (PLA) by applying the spatial correlations of received signal strength (RSS) in the air-to-ground channels between an unmanned aerial vehicle (UAV), a legitimate transmitter, and a spoofer. Based on our hypothesis model, we first derive the false alarm rate and miss detection rate for the UAV receiver. We then formulate a zero-sum PLA game where the UAV receiver selects its RSS detection threshold while the spoofer selects its attack probability to maximize their respective utilities. We derive the Nash equilibrium (NE) and its existence condition for the proposed PLA game. Monte Carlo simulation results accurately verify our analytical expressions for the false alarm rate and miss detection rate. Numerical results highlight the complex interplay between the detection threshold, spoofing attack probability and UAV altitude in the derived NE. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
71
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
157687938
Full Text :
https://doi.org/10.1109/TVT.2022.3161006