GraphSecure Security Enhancement for Autonomous Vehicle Networks with Knowledge Graph

The project aims to address cybersecurity challenges in connected autonomous vehicles (CAVs), particularly the risk of malicious actors disseminating false information in vehicular networks. The project will develop a scalable, knowledge-graph-based framework, GraphSecure, designed to enhance message authentication and anomaly detection in CAV environments. Objectives: (1) Real-time Event Detection and Knowledge Graph Construction: Develop a real-time event detection system that integrates diverse data streams from vehicle sensors and traffic systems to dynamically construct distributed knowledge graphs. (2) Privacy-Preserving Data Sharing in Knowledge Graphs: Implement privacy-preserving frameworks that ensure secure data sharing within knowledge graphs, utilizing cryptographic and anonymization techniques. (3) Graph-Based Authentication Protocols: Create protocols that leverage relational and contextual knowledge within graphs for fast, accurate message authentication. (4) Validation and Prototyping: Conduct real-world validation and simulation tests to evaluate the reliability, effectiveness, and practical scalability of GraphSecure.

• Supplemental Notes:
  • This material is based on work supported by the U.S. Department of Transportation, OST-R, University Transportation Center Program, the USDOT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE).

Language

• English

Project

• Status: Active
• Funding: $52,000.00
• Contract Numbers:

  69A3552348332

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)

  University of Houston
  Houston, TX  United States 
• Project Managers:

  Zhang, Yunpeng (Jack)

• Performing Organizations:

  Embry-Riddle Aeronautical University

  600 S. Clyde Morris Boulevard
  Daytona Beach, Fl  United States  32114
• Principal Investigators:

  Yang, Tianyu

• Start Date: 20240701
• Expected Completion Date: 20260630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Data privacy; Validation
• Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01956892
• Record Type: Research project
• Source Agency: Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)
• Contract Numbers: 69A3552348332
• Files: UTC, RIP, STATEDOT
• Created Date: May 29 2025 9:34PM