| 引用本文: | 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.[点击复制] |
| SONG Xiu-lan,MEI Zheng-yuan,ZHU Jun-wei.Detection of GPS spoofing attacks on connected vehicles based on adaptive distributed Kalman filtering[J].Control Theory & Applications,2026,43(1):159~168.[点击复制] |
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| 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 |
| 摘要点击 203 全文点击 18 投稿时间：2023-11-15 修订日期：2025-05-21 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30743 |
| 2026,43(1):159-168 |
| 中文关键词 网联车 车辆安全 虚假注入攻击 入侵检测 卡尔曼滤波 |
| 英文关键词 connected vehicles vehicle safety spoofing injection attack intrusion detection Kalman filter |
| 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. |
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| 中文摘要 |
| 针对网联车GPS信号可能遭受虚假注入攻击的问题,本文提出一种基于自适应分布式卡尔曼滤波DKF的
攻击检测策略.首先,构建GPS信号虚假注入攻击下的网联车队列系统不确定动态模型,并提出一种自适应DKF算
法, 以解决网联车行驶过程中噪声统计特性未知的问题;其次,设计了一种基于自适应DKF状态残差的卡方检测方
法, 实现对GPS信号虚假注入攻击的检测;最后,通过实验仿真验证所提检测方法的有效性. |
| 英文摘要 |
| 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. |