This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to enhance the security and resilience of learning-based control systems. The research aims to uncover information patterns that can deceive intelligent decision-making agents, ultimately enabling the design of trustworthy, secure-by-design solutions for safety-critical CPS applications in domains such as remote sensing, smart infrastructure, and robotics. The project runs from July 1, 2024 to June 30, 2027 and aligns with NSF's efforts to promote inclusivity in computing, workforce development, and STEM education.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $150.0k | 7/5/24 |