Hardening the CAV Ecosystem to Reduce Cybersecurity Risks – Year One

Principal Investigator(s):

Zhi-Li Zhang, Distinguished McKnight University Professor & Qwest Chair Professor of Computer Science and Engineering – University of Minnesota
Associate Director for Research – Digital Technology Center
Z. Morley Mao, Professor of Electrical Engineering and Computer Science – The University of Michigan
Yiheng Feng, Assistant Professor of Civil Engineering – Purdue University
Assistant Director – Center for Road Safety (CRS)

Project Abstract:
In this project, will take a multi-pronged framework to secure the CAV ecosystem by simultaneously considering cybersecurity threats posed to CAVs, transportation infrastructure, and cyber infrastructure that support CAV operations and leveraging intelligent collaborations between CAVs and physical/cyber transportation infrastructures. We will investigate how to exploit cooperative perception and advanced communication technologies – especially emerging 5G/Next-Generation (NextG) networking and computing capabilities and combine them with innovative artificial intelligence and machine learning (AI/ML) algorithms to secure the CAV ecosystem through a list of research tasks including developing a secure and robust perception system, investigating the security of cooperative driving and communication between CAVs and infrastructure, and designing a secured CAV system through redundancy.

Institution(s): University of Minnesota
University of Michigan — Ann Arbor
Purdue University

Award Year: 2023

Research Focus: Safety, Cybersecurity

Project Form(s):