A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles

Bin Sun, Shichun Yang, Yu Wang, Jiayi Lu, Yaoguang Cao, Yaoguang Cao

2025

Abstract

With the widespread integration of artificial intelligence and telecommunication technologies in vehicles, the challenge of cybersecurity in Intelligent and Connected Vehicles (ICVs) has gained significant attention. A typical and high-risk cyber-attack technique involves False Data Injection (FDI) into sensors through the network, resulting in deviations in subsequent planning and control algorithm outcomes. Existing approaches suffer from limited robustness, being suitable only for simple models or requiring extensive data for the training model, which limits their practicality. Therefore, this paper proposes a method based on a Two-stage Extended Kalman Filter (TSEKF), which not only detects cyber-attacks but also restores the vehicle’s true motion state, thereby enhancing the robustness of vehicle ego state perception. The experimental results demonstrate that the proposed method exhibits strong performance across various motion scenarios, offering an effective solution for the safe operation of ICVs.

Paper Citation

in Harvard Style

Sun B., Yang S., Wang Y., Lu J. and Cao Y. (2025). A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 301-308. DOI: 10.5220/0013137900003941

in Bibtex Style

@conference{vehits25,
author={Bin Sun and Shichun Yang and Yu Wang and Jiayi Lu and Yaoguang Cao},
title={A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013137900003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - A Two-Stage Extended Kalman Filter-Based Approach Against FDI Cyber-Attack in Intelligent and Connected Vehicles
SN - 978-989-758-745-0
AU - Sun B.
AU - Yang S.
AU - Wang Y.
AU - Lu J.
AU - Cao Y.
PY - 2025
SP - 301
EP - 308
DO - 10.5220/0013137900003941
PB - SciTePress