King Saud University

Wazir Zada Khan

Muhammad Khurram Khan

Misbah Khan

Systems and methods with improving the cybersecurity of connected and autonomous vehicles (CAVs) through the use of a digital twin are disclosed. The system collects real-time data from vehicle sensors and updates statuses of electronic control units (ECUs) to generate a digital twin. The system simulates vehicle behavior and cybersecurity threats to generate predictive cybersecurity indicators (PCIs) and identify potential vulnerabilities. The system adjusts insurance premiums for the vehicle based on the PCIs.

System and method for cybersecurity risk monitoring and evaluation in connected and autonomous vehicles

A method of facilitating cyber inspection of connected and autonomous electrical vehicles using smart charging stations. Accordingly, the method comprises receiving an information associated with a connected and autonomous electrical vehicle (CAEV) connected to a smart charging station, identifying an operation comprising a scanning operation based on the information, generating a request for facilitating the scanning operation comprising a cyber security threats scan, a cyber-attacks scan, an antivirus scan, an antimalware, an anti-ransomware, and a security scan, transmitting the request to a service provider device of a service provider comprising a cyber security provider, receiving a scanning operation information from the service provider device, performing the scanning operation on ECUs of the CAEV for facilitating the cyber inspection of the CAEV using the scanning information, generating a status of the CAEV based on the performing, transmitting the status to a device, and storing the status.

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Wah Cantt, Pakistan

Wazir Zada Khan