Enhancement of the Automotive Cybersecurity Vulnerability Database Platform

This project aims to enhance the existing Automotive Cybersecurity Vulnerability Database Platform, making it more robust, user-friendly, and industry-specific. The platform will enrich data points by leveraging AI and ML to ensure high relevance and actionable intelligence for automotive cybersecurity. The project will adapt the National Vulnerability Database framework to include automotive-specific technology tags, provide export and reporting functionalities, and offer operational context with key performance indicators (KPIs) to help users understand vulnerability trends. Quality assurance measures will ensure the dataset can be rapidly extended while maintaining high standards, transforming the platform into a cutting-edge tool for the automotive industry.

Faculty Supervisor:

Ikjot Saini

Student:

Partner:

Automotive Security Research Group

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program: