控制理论与应用2026，Vol.43Issue(1)：159-168,10.DOI:10.7641/CTA.2024.30743
基于自适应分布式卡尔曼滤波的网联车GPS虚假注入攻击检测
Detection of GPS spoofing attacks on connected vehicles based on adaptive distributed Kalman filtering
摘要
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.关键词
网联车/车辆安全/虚假注入攻击/入侵检测/卡尔曼滤波Key words
connected vehicles/vehicle safety/spoofing injection attack/intrusion detection/Kalman filter引用本文复制引用
宋秀兰,梅正远,朱俊威..基于自适应分布式卡尔曼滤波的网联车GPS虚假注入攻击检测[J].控制理论与应用,2026,43(1):159-168,10.基金项目
国家自然科学基金项目(62273307),浙江省公益性技术应用研究项目(LGF22F030013)资助.Supported by the National Natural Science Foundation of China(62273307)and the Public Welfare Technology Application Research Project of Zhe-jiang Province(LGF22F030013). （62273307）
