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Electric vehicles generate a vast amount of sensitive data involving travel, identity, and location during operation, which makes the risk of privacy leakage increasingly prominent. This paper introduces the LINDDUN model to analyze threats from three dimensions: data collection and transmission, identity and location privacy, and third-party service interfaces, thereby revealing key risk points. On this basis, it proposes application strategies such as optimization of technical systems and enhancement of protective capacity, establishment of compliance governance and institutional frameworks, user empowerment, cultivation of privacy awareness, and promotion of industry collaboration and standardization. The findings indicate that the LINDDUN model provides a systematic methodology for privacy protection in the electric vehicle sector, offering valuable reference for policymaking and industry regulation improvement.
Electric Vehicles; Privacy Protection; LINDDUN Model; User Data
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Exploration of the Application of the LINDDUN Model in Privacy Protection for Electric Vehicle Users
How to cite this paper: Mingjie Chen. (2025). Exploration of the Application of the LINDDUN Model in Privacy Protection for Electric Vehicle Users. Engineering Advances, 5(4), 160-165.
DOI: http://dx.doi.org/10.26855/ea.2025.10.006