Vehicular engineering process aims to develop a secure and safe vehicle with a high level of safety-security assurance. Safety and security are considered two sides of the identical coin. Therefore, improving security in automotive manufacturing is necessary to protect the vehicle from various attack scenarios that threaten safety. Consequently, cybersecurity requires to be a part of the development phases of the vehicular industry. The significant challenge is how to manage hundreds or thousands of vehicular data related to all components, threats, vulnerabilities, and protection profiles. The traditional security verification and validation approaches could miss some of the security flaws, which leads to a threat to the whole vehicle. This work aims to introduce a vehicular security verification and validation model. The model is an ontology-based approach that aims to create a knowledge representation of the vehicular components, assets, threats, and others with all related data. Then it performs verification and validation to determine whether or not the security requirements met under the actual security conditions. Additionally, the model improves the security level of the vehicle by choosing further security requirements.

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