Detection of GPS spoofing attacks on connected vehicles based on adaptive distributed Kalman filtering
SONG Xiu-lan
MEI Zheng-yuan
ZHU Jun-wei
Abstract：To address the issue of potential spoofing attacks on GPS signals in connected vehicles,this paper proposes an attack detection strategy based on an adaptive distributed Kalman filtering(DKF).Firstly,an uncertain dynamical model of a connected vehicle platooning system subject to the GPS spoofing attack is derived,and then an adaptive DKF algorithm is proposed to solve the problem of unknown noise statistical properties of the connected vehicles in driving.Secondly,a chi-square detection method based on the state residuals of the DKF is designed to detect GPS spoofing attacks.Finally,the effectiveness of the proposed detection method is verified through experimental simulations.
Keywords：connected vehiclesvehicle safetyspoofing injection attackintrusion detectionKalman filter
Publication Date：2026-01-30
Online Publishing Date：2026-02-05(First online date of this platform, not the publication date of the document)
Pages：10( 159-168 )