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 $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 Project Grant award of $226,180, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to enhance the security of cyber-physical systems (CPS) that utilize reinforcement learning, such as autonomous vehicles. The project will develop innovations to achieve safe and secure reinforcement learning, protecting users from system vulnerabilities and systems from attacks. Key focus areas...
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 $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 (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $374,558 to the University of Florida to develop an approach for computing the predictive confidence in the safety of cyber-physical systems (CPS) powered by artificial intelligence (AI) that are experiencing anomalous behavior. The research aims to close the gap between anomaly detection and safety violations in AI-enabled CPS by designing...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 in funding to the University of Tulsa to research techniques for combining guaranteed privacy and resilience in dynamic cyber-physical systems (CPS). The project aims to develop a framework that enables distributed CPS agents, such as those found in autonomous vehicles, smart energy grids, and robotic teams, to operate safely even...
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...
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 $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...