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.

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A Preliminary Study on Using Large Language Models in...

Kumar Shashwat, Francis Hahn, Xinming Ou, Dmitry Goldgof, Jay Ligatti, Larrence Hall (University of South Florida), S. Raj Rajagoppalan (Resideo), Armin Ziaie Tabari (CipherArmor)

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Transforming Raw Authentication Logs into Interpretable Events

Seth Hastings, Tyler Moore, Corey Bolger, Philip Schumway (University of Tulsa)

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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks...

Zitao Chen (University of British Columbia), Karthik Pattabiraman (University of British Columbia)

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BGP-iSec: Improved Security of Internet Routing Against Post-ROV Attacks

Cameron Morris (University of Connecticut), Amir Herzberg (University of Connecticut), Bing Wang (University of Connecticut), Samuel Secondo (University of Connecticut)

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