Risk Assessment for Security Threats and Vulnerabilities of Autonomous Vehicles

Research Team: Alfred Chen (lead) and Trishna Chakraborty

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 research report summarizes 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 is accomplished by first conducting an extensive review of CAV system security vulnerabilities (e.g., sensing, control, artificial intelligence, networking, and computing). Second, the researchers classified these threats based on common characteristics from a policymaker perspective and identify strategies to mitigate threats.

Status: Completed

Budget: $20,000