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 blockchains and decentralized file systems to ensure integrity of model parameters and proofs. A differential privacy-driven, decentralized machine learning approach to capture interdependencies between infrastructure subsystems while preserving privacy. Initiatives to develop a diverse STEM workforce for industrial cybersecurity and enhance STEM participation among underrepresented undergraduate students through workshops and hackathons. The award period runs from Oct 1, 2024 to Sep 30, 2027, with the goal of realizing trustworthy and private industrial cyber attack detection schemes, improving situational awareness for local stakeholders, and providing design insights for scalable, low-overhead decentralized computing frameworks.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $488.4k | 8/8/24 |