The complexity of vehicle cybersecurity seems to be increasing at an ever-accelerating pace. With the electrification of transportation, the adoption of AI, and new regulations and standards, “secure by design” seems to be moving out of reach. How can we navigate this complex realm and make actual progress? What does the industry need to focus on? What can academia do to help advance the state of the possible? Join us as we explore some answers to these important questions.

Speaker's Biography: Urban conducted some of the first research into heavy vehicle cybersecurity in 2014 and wrote one of the first papers on the subject in 2015. While at NMFTA, Urban founded and ran the heavy vehicle cybersecurity / commercial transportation security and research program. With over thirty-five years of experience, Urban is a hands-on technologist and leader. He has a successful track record of understanding, analyzing, mapping, and providing solutions for complex systems. Urban maintains several vehicle cybersecurity advisory roles, including technical support to SAE International standards committees, a Technology & Maintenance Council (TMC) S.5 and S.12 Study Group Member, ESCAR USA Conference Program Committee, CyberTruck Challenge Board Member and Speaker, and a Transportation Cybersecurity Subject Matter Expert for FBI InfraGard and FBI Automotive Sector Specific Working Group.

View More Papers

SURGEON: Performant, Flexible and Accurate Re-Hosting via Transplantation

Florian Hofhammer (EPFL), Marcel Busch (EPFL), Qinying Wang (EPFL and Zhejiang University), Manuel Egele (Boston University), Mathias Payer (EPFL)

Read More

Location Spoofing Attacks on Autonomous Fleets

Jinghan Yang, Andew Estornell, Yevgeniy Vorobeychik (Washington University in St. Louis)

Read More

FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting

Meenatchi Sundaram Muthu Selva Annamalai (University College London), Igor Bilogrevic (Google), Emiliano De Cristofaro (University of California, Riverside)

Read More

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models

Qi Pang (Carnegie Mellon University), Yuanyuan Yuan (HKUST), Shuai Wang (HKUST)

Read More