Secure platooning control of connected vehicles against data injection attacksOACSCD
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.
Juan Liu;Shuyi Tang;Sheng Gao;Zhuping Wang;Hao Zhang;Gerhard Rigoll
School of Electronics and Information Engineering,Tongji University,Shanghai 201804,ChinaSchool of Electronics and Information Engineering,Tongji University,Shanghai 201804,ChinaSchool of Electronics and Information Engineering,Tongji University,Shanghai 201804,ChinaSchool of Electronics and Information Engineering,Tongji University,Shanghai 201804,China Shanghai Research Institute for Intelligent Autonomous Systems,Shanghai 201210,ChinaSchool of Electronics and Information Engineering,Tongji University,Shanghai 201804,China Shanghai Research Institute for Intelligent Autonomous Systems,Shanghai 201210,ChinaInstitute for Human-Machine Communication,Technical University of Munich,Munich 80333,Germany
交通工程
connected vehicle platoondata injection attackdefense controlformation
《Security and Safety》 2025 (3)
P.33-48,16
supported by the National Natural Science Foundation of China 62433014in part by the Shanghai International Science and Technology Cooperation Project(22510712000)in part by National Key R&D Program of China under Grant(2020AAA0108100)in part by the Shanghai Municipal Science and Technology Major Project(2021SHZDZX0100)in part by the Fundamental Research Funds for the Central Universities
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