Cybersecurity Analysis to Support Secure Transportation Cyber-Physical Systems

This project is designed to strengthen transportation cybersecurity in an era where artificial intelligence (AI)-enabled and AI-enhanced cybercrime is increasingly capable of scaling deception, automation, and attack sophistication against cyber-physical systems. The project builds directly on the team’s prior legislative gap analysis and the development of TraCR AI, a retrieval-augmented large language model that helps transportation officials and policy makers identify applicable legal obligations and compare regulatory approaches across jurisdictions. The central technical contribution is the development and testing of a modular defensive wrapper for transportation-focused large language model (LLM) and retrieval augmented generation (RAG) tools, intended to detect and mitigate adversarial attacks that exploit legal reasoning systems and to support a testbed for LLM-targeted cybercrime scenarios. In parallel, the project includes legal and policy research that assesses gaps in US frameworks for addressing AI-enabled cybercrime and draws on international examples to inform best practices for governance, enforcement, and secure deployment. The overall objective is to produce deployable defenses and practitioner-facing guidance that improve trustworthiness in AI-assisted compliance and policy analysis for critical transportation infrastructure.

Language

  • English

Project

  • Status: Active
  • Funding: $333,382.00
  • Contract Numbers:

    69A3552344812

    69A3552348317

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    University of Alabama, Tuscaloosa

    Department of Civil, Construction and Environmental Engineering
    P.O. Box 870205
    Tuscaloosa, AL  United States  35487-0205
  • Managing Organizations:

    National Center for Transportation Cybersecurity and Resiliency (TraCR)

    Clemson University
    Clemson, SC  United States 

    University of Alabama, Tuscaloosa

    Department of Civil, Construction and Environmental Engineering
    P.O. Box 870205
    Tuscaloosa, AL  United States  35487-0205

    University of Texas at Dallas

    800 W Campbell Rd
    Richardson, Texas  United States  75080

    Clemson University

    216 Lowry Hall
    Clemson, SC, SC  United States  29634
  • Project Managers:

    Chowdhury, Mashrur

  • Performing Organizations:

    University of Alabama, Tuscaloosa

    Department of Civil, Construction and Environmental Engineering
    P.O. Box 870205
    Tuscaloosa, AL  United States  35487-0205

    University of Texas at Dallas

    800 W Campbell Rd
    Richardson, Texas  United States  75080

    Clemson University

    216 Lowry Hall
    Clemson, SC, SC  United States  29634
  • Principal Investigators:

    Hockstad, Trayce

    Jones, Steven

    Lu, Kun

    Khan, Latifur

    Thuraisingham, Bhavani

    Salek, Sabbir

    Morris, Eric A

  • Start Date: 20260401
  • Expected Completion Date: 20270331
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01988326
  • Record Type: Research project
  • Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
  • Contract Numbers: 69A3552344812, 69A3552348317
  • Files: UTC, RIP
  • Created Date: Apr 29 2026 4:33PM