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March 28, 2026Energy internet.Open Access

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

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The study aims to develop a comprehensive threat landscape model for autonomous electric vehicles, integrating various threats and vulnerabilities.
Developed an ontology-based model of AEV components and threats.
Mapped threats and vulnerabilities to established threat frameworks.
Analyzed communication channels like V2V, V2I, V2G, and V2N for potential attack surfaces.
Identified multiple entry points for cyber attacks across connected systems.
Presented a formal ontology enabling automated risk assessment and attack path tracing.
Highlighted the interconnected threats affecting vehicle performance and grid systems.

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This research presents a threat landscape model for autonomous electric vehicles, highlighting vulnerabilities and potential attacks.

Alsadi et al. (2026) studied this question.

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