Research on cybersecurity protection strategy of electric vehicles charging systems

Chun Li; Baotian Li; Hang Sun

doi:10.1117/12.2629096

22 April 2022 Research on cybersecurity protection strategy of electric vehicles charging systems

Chun Li, Baotian Li, Hang Sun

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121740M (2022) https://doi.org/10.1117/12.2629096
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

The cybersecurity of electric vehcles(EVs) charging process has attracted more and more attention. In this paper, through the risk assessment of charging system under charging scenario, we clarify the cybersecurity risks of charging system of EVs, and propose systematic protection measures in multiple dimensions for the main cybersecurity risks in charging process. Further, we conduct experimental verification of EVs charging system based on the cybersecurity protection strategy designed in this paper, and prove the cybersecurity protection strategy can protect EVs charging system security from hardware cybersecurity, software cybersecurity, data cybersecurity and communication cybersecurity.

Citation Download Citation

Chun Li, Baotian Li, and Hang Sun "Research on cybersecurity protection strategy of electric vehicles charging systems", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121740M (22 April 2022); https://doi.org/10.1117/12.2629096

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