Automotive Cybersecurity Industry Consortium CAN Bus Scanning Tool Project

The Automotive Cybersecurity Industry Consortium (ACIC) required development of a software tool for security testing of vendor-supplied ECUs, similar to the Nmap security scanner on traditional networks. The CAN Bus Scanning Tool allows for scanning a vehicle to identify and exercise available diagnostic services, as seen on the network. This is useful for designers seeking to enhance vehicle security by ensuring the network elements expose only those interactions that are intended. This project involved developing, demonstrating, and distributing a software tool among ACIC members that achieves these goals. The final report for this project will not be publicly available.

Language

• English

Project

• Status: Completed
• Funding: $299,640 ACIC (100% Cost Share)
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  University Transportation Center Program

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Managing Organizations:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Principal Investigators:

  LeBlanc, David

• Start Date: 20171120
• Expected Completion Date: 20200831
• Actual Completion Date: 20200831
• USDOT Program: University Transportation Centers Program
• Subprogram: Research

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Connected vehicles
• Identifier Terms: Security Threat Assessment
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 01744644
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Jul 2 2020 8:26AM