Research Article

Secure platooning control of connected vehicles against data injection attacks

¹ School of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
² Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
³ Institute for Human-Machine Communication, Technical University of Munich, Munich 80333, Germany

^* Corresponding authors (email: This email address is being protected from spambots. You need JavaScript enabled to view it. (Zhuping Wang); This email address is being protected from spambots. You need JavaScript enabled to view it. (Hao Zhang))

Received: 25 October 2024
Revised: 14 December 2024
Accepted: 20 January 2025

Abstract

This paper presents an attack-defense formation control framework for connected vehicle platoons. This framework effectively addresses the challenges posed by malicious attacks on multi-intelligent vehicle systems in open network environments. First, from the attacker’s perspective, an optimal data injection attack strategy is designed, considering energy constraints and the complexities of the communication environment. This strategy aims to disrupt the multi-intelligent vehicle system with minimal energy expenditure. Next, from the defender’s perspective, a formation compensation control strategy is proposed to enhance the system’s resilience against such attacks. This defense control strategy includes real-time monitoring and adjustments of communication data between vehicles, ensuring that vehicle formation remains stable and coordinated even in the case of data injection attacks. Finally, simulation experiments are conducted to validate the effectiveness and robustness of the proposed methods.