This Project Grant award for $108,510, provided by the National Science Foundation (CFDA 47.041 - Engineering), aims to develop a comprehensive solution to protect industrial control systems (ICS) from malicious cyber-attacks. The key products and services to be delivered include: Developing an "operator-automation shared protection framework" that integrates human-on-the-loop explainable machine learning, anomaly detection, and recovery control to enable real-time decision-making...
This $199,867 National Science Foundation project grant supports research at the University of Michigan to develop formal methodologies for synthesizing cyber-secure and resilient control logic for networked discrete-event systems subject to cyber attacks. Funded under the NSF Engineering program (CFDA 47.041), the three-year project commencing September 2022 aims to enhance the reliability of advanced control systems through model-based approaches. Researchers will extend diagnosability...
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 from the National Science Foundation Office of Integrative Activities, under the Integrative Activities federal grant program (CFDA 47.083), provides $400,000 to North Carolina Agricultural and Technical State University from September 1, 2022 to August 31, 2025. The funding supports research to develop an early warning framework for cyber threats targeting operational technology systems. The framework introduces intelligent interaction decoys that mimic the behavior of...
The National Science Foundation (NSF) awarded a $305,000 Phase I Small Business Innovation Research (SBIR) grant to Beesafe Labs, LLC located in San Diego, CA. The purpose of this project grant is to develop a system using interactive artificial intelligence (AI) chatbot "investigators" powered by large language models (LLMs) to engage with and trace social engineering cyber-attacks. The goal is to extract structured intelligence on the tactics, techniques, and procedures used by...
This three-year, $425,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at The Pennsylvania State University to develop provably secure, online learning-based adaptive cyber defenses for real-world servers. The research aims to provide mathematically rigorous guarantees by synthesizing new models integrating machine learning, game theory, and control theory. It will...
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 of $328,423 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the security and resilience of distributed cyber-physical systems (CPS). The University of Florida is the prime awardee and will focus on three key objectives: (1) detecting cyber-attacks and malicious activities using novel algorithms; (2) analyzing the impacts of cyber threats and providing diagnostics; and (3) developing...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $488,384 to Oklahoma State University (OSU) to develop decentralized, privacy-preserving methods for detecting cyber attacks on critical infrastructure networks. The key products and services to be delivered include: Decentralized algorithms and computational frameworks for publicly verifiable cyber attack detection, leveraging...
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...