Human-AI Teams for Cybersecurity in Transportation
This project is focused on human-artificial intelligence (AI) collaboration. The main goal is to develop models and algorithms to support the collaboration between humans and AI for the rapid discovery of cybersecurity attacks based on data streams (sequences of communication events). This online version of the problem is more challenging than the traditional batch setting where the model has access to the entire dataset. Addressing this problem will require the design of efficient and interpretable data analytics tools and models for incorporating human feedback into the intrusion detection model to improve the patterns discovered iteratively. Recent advances in explainable AI will be leveraged to provide cybersecurity experts with insights into why a given communication pattern is a potential intrusion. The proposed approaches will be compared against existing alternatives, including those that do not incorporate human feedback, in terms of accuracy and detection time. Case studies will be performed to assess the effectiveness of the proposed solutions. The project will produce open-source prototypes, datasets, and publications that will be made available to the broader research community. Moreover, the results of the research will be integrated to two broader impact activities, a summer program for high-school students and a data science challenge focused on transportation cybersecurity.
Language
- English
Project
- Status: Active
- Funding: $60,000.00
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Contract Numbers:
69A3552348332
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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
Kline, Robin
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Performing Organizations:
Houston, Texas
United States
Civil Engineering Department, P.O. Box 210071, 741 Baldwin Hall
Cincinnati, OH United States 45221-0071 -
Principal Investigators:
Jermaine, Christopher
- Start Date: 20230701
- Expected Completion Date: 20251231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Artificial intelligence; Communication; Computer security; Detection and identification systems; Education; Human machine systems
- Subject Areas: Data and Information Technology; Education and Training; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01953917
- 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: Apr 29 2025 4:45PM