Foundational Study for Transportation Network Cyber Threat Detection Using AI/ML

Primarily, this effort will build a foundational software prototype to identify, source, and package data for use in machine learning (ML)-based anomaly detection models. Secondly, Georgia Tech (GT) will work in close partnership with Georgia Department of Transportation (GDOT) to assess one (1) out of the eight (8) representative cyber threats and platforms, and characterize detection performance using standardized performance measures (e.g., classification accuracy, precision and recall).

Language

• English

Project

• Status: Active
• Funding: $100,000.00
• Contract Numbers:

  GDOT RP 25-24

• Sponsor Organizations:

  Georgia Department of Transportation

  One Georgia Center
  600 West Peachtree Street, NW
  Atlanta, GA  United States  30308
• Managing Organizations:

  Georgia Department of Transportation

  One Georgia Center
  600 West Peachtree Street, NW
  Atlanta, GA  United States  30308
• Project Managers:

  Ahmed, Md Sabbir

• Performing Organizations:

  Georgia Institute of Technology, Atlanta

  Georgia Tech Research Corporation
  505 10th Street, Suite 213
  Atlanta, GA  United States  30332
• Principal Investigators:

  Dodia, Yatis

• Start Date: 20251216
• Expected Completion Date: 20260916
• Actual Completion Date: 0
• USDOT Program: Cybersecurity for ITS
• USDOT Program: Data Access and Exchanges

Subject/Index Terms

• TRT Terms: Artificial intelligence; Computer security; Cyberattacks; Detection and identification technologies; Machine learning
• Subject Areas: Data and Information Technology; Planning and Forecasting; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01993799
• Record Type: Research project
• Source Agency: Georgia Department of Transportation
• Contract Numbers: GDOT RP 25-24
• Files: RIP, STATEDOT
• Created Date: Jun 25 2026 11:32AM