White Paper: Security Threats and Vulnerabilities of Connected and Automated Vehicles

Research Lead: Alfred Chen

UC Campus(es): UC Irvine

Problem Statement: In the coming decades, advancements in connected and automated vehicles (CAVs) have the potential to transform communities and mobility. As these technologies progress, policymakers and practitioners will need tools and information to proactively design policies, actions, and practices that will avoid potential negative impacts and unintended consequences and facilitate sustainable and equitable outcomes.

Project Description: This white paper project will summarize and classify realistic CAV-related security threats and vulnerabilities with the goal of helping stakeholders identify research needs, barriers to implementation, and strategies to address such issues. This will be accomplished by first conducting an extensive review of CAV system security vulnerabilities (e.g., sensing, control, artificial intelligence, networking, and computing). Second, the researchers will classify these threats based on common characteristics from a policymaker perspective and identify strategies to mitigate threats.

Status: In Progress

Budget: $20,000