Project Grant 2333980
- This $1,722,089 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop rigorous, scientific mechanisms to enable resilience in large-scale cyber-physical systems (CPS) against various perturbations. The award to Purdue University, effective June 15, 2024 through May 31, 2029, will focus on modeling and understanding the impacts of unintended errors, security attacks, unexpected interactions, and...
- This $400,601 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop rigorous scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS), with a focus on connected and autonomous transportation systems (CATS). The key research thrusts include: 1) Modeling cyber, physical, and human assets and their interconnections, as well as economic and policy constraints, to...
- 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...
- This $493,514 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop rigorous, scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS) against various types of perturbations. The project, titled "COLLABORATIVE RESEARCH: CPS: FRONTIER: CHORUS: RESILIENT DISTRIBUTED CPS THROUGH RATIONAL AND DYNAMIC DECISION-MAKING AMONG MULTIPLE...
- This $300,027 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop secure and trustworthy learning-based control systems for cyber-physical systems (CPS). The project aims to: a) Develop a real-time reward manipulation scheme for learning-based controllers b) Design multi-level attack schemes on reward signals in a distributed CPS control architecture c) Develop data-enabled strategies for...
- This Project Grant award from the National Science Foundation Division of Computer and Network Systems provides $148,867 to support research into cooperative neuro-inspired anomaly detection models for connected vehicles. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to Texas State University aims to develop novel algorithmic methods and multi-agent models to identify anomalous sensor readings that could pose safety risks in...
- This $200,000 National Science Foundation Project Grant supports research at Michigan State University to develop data-driven modeling techniques for securing cyber-physical systems. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the two-year award will create automated strategies using reinforcement learning to characterize attacker intent. Researchers will integrate defense approaches combining game theory, reinforcement learning and Bayesian...
- This Project Grant award from the National Science Foundation Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $174,985 to develop a methodology and software framework for model-based repair of cyber-physical systems to improve resiliency. The University of Dayton Research Institute will utilize formal analysis techniques and develop two main software tools - a model transformation tool...
- This Project Grant award of $693,989 from the National Science Foundation's (NSF) Division of Computer and Network Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research by the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. The research aims to enable "mutualistic cyber-physical interaction" for self-adaptive monitoring of damage to civil infrastructure. Key components include: 1) deep learning-based damage prognostics to...
- This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...
This $449,188 National Science Foundation (NSF) Division of Computing and Communication Foundations grant, awarded under the Computer and Information Science and Engineering (CFDA #47.070) program, supports a collaborative research project at the University of Notre Dame focused on developing novel techniques for detecting and recovering from sensor attacks in cyber-physical systems (CPS). The key objectives are to: 1) create real-time, adaptive sensor attack detection approaches that dynamically balance detection time and false alarms; 2) develop recovery techniques to safely return CPS to a stable state after an attack; and 3) integrate the detection and recovery components to enhance defense against sensor attacks. The research will be implemented and evaluated using CPS simulators and an autonomous vehicle testbed. This award reflects NSF's mission to advance fundamental research and innovation in computing and communications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $449.2k | 7/14/23 |