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DOE OSTI · 2569916

Electric Vehicle Charging Data Falsification Attacks Utilizing Behavioral Models

Meyer, Richard T. [Western Michigan Univ., Kalamazoo MI (United States)]·Bhattacharjee, Shameek [Western Michigan Univ., Kalamazoo MI (United States)]
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Abstract

A charging station (CS) and its associated electric vehicle supply equipment (EVSE) and charging electric vehicle (EV) interactions are potential targets for data falsification attacks since CSs are typically unmanned public facilities that are connected to the internet and EVs incorporate the vulnerable CAN bus network, which are both susceptible to remote attacks. The research question being addressed is how is the EV owner and CS negatively affected by CAN bus EV battery current sensor and battery temperature sensor data falsification attacks. Negative effects include economic losses from reduced life span of the battery, battery thermal runaway and fire (and potential loss of surrounding structure), and reduced utilization of the CS due to delayed departure time (longer charging times).

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25 ENERGY STORAGE32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATIONcybersecurityelectric vehicle charging station

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Meyer, Richard T. [Western Michigan Univ., Kalamazoo MI (United States)], Bhattacharjee, Shameek [Western Michigan Univ., Kalamazoo MI (United States)]. 2025-05-01. Electric Vehicle Charging Data Falsification Attacks Utilizing Behavioral Models. https://doi.org/10.2172/2569916

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