A Zero Trust Architecture for Secure Connected and Autonomous Vehicles

Details

• Creators:
  Cheng, Long ; Zhang, Zhenkai ; Comert, Gurcan
• Corporate Creators:
  National Center for Transportation Cybersecurity and Resiliency (TraCR) National University Transportation Center (UTC) ; Clemson University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Computer architecture
  • Connected vehicles
  • Intelligent transportation systems
  • Autonomous vehicles
  • Computer networks
  • Computer security
  • Artificial intelligence
  • Infrastructure
  • Policy
  • Network security
  More +
• Publication/ Report Number:
  11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report, 01/01/2024 - 05/31/2025
• Corporate Publisher:
  National Center for Transportation Cybersecurity and Resiliency (TraCR) National University Transportation Center (UTC)
• Abstract:
  Connected and Autonomous Vehicles (CAVs) are the future of personal and public transportation. As CAVs increasingly rely on cyber-based control, navigation, and communication, security has become a pressing concern in future transportation systems. The complexity and inter-connectedness of CAVs offer myriad opportunities for security compromise, potentially resulting in unsafe operation or leakage of confidential information about the user. Zero Trust Architectures (ZTA) for networks have emerged as a fundamentally new way of approaching network security. The zero-trust security model does not automatically trust any user or device inside or outside the network perimeter. Instead, it enforces a set of policies (i.e., rules that are dynamically maintained and enforced) to verify and ensure the security of resources. In this project, we mainly designed a Zero Trust Architecture for CAV (named ZTA-CAV) to provide fundamental protection for individual components within CAV systems and their supporting infrastructure. In addition, as Artificial Intelligence (AI)continues to become an integral part of cybersecurity, we discuss the potential opportunists and challenges of integrating AI into a Zero Trust framework to enhance the effectiveness of Zero Trust security. We also developed education materials designed to equip students with a comprehensive understanding of the application of Zero Trust security in protecting CAVs. This project provides stakeholders with effective Zero Trust strategies for securing CAVs and their supporting infrastructure in an increasingly connected and threat-prone environment.
• Format:
  PDF
• Funding:
  69A3552344812 ; 69A3552348317
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93161/dot_93161_DS1.pdf
• File Type:
  [PDF - 1008.30 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:3651f439287ded2807fa52509bd4c7ab4c57ee4a2f7711913f4db413136143138fcabc1c27885537e0cf1dfda021c1ca0dd8497654eb41bb97eed4dd8f9315e9