Project Grant 2453148
- This National Science Foundation Project Grant, awarded under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, provides $128,067 to the University of Illinois to develop advanced privacy protection methods for graph-based intrusion detection systems. The project aims to enable organizations to collaboratively detect cyberattacks on computer networks without exposing sensitive data, serving national interests by strengthening cybersecurity, supporting economic...
- This federal Project Grant award of $159,903 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Illinois. The project aims to develop a new approach to intrusion detection by enabling cross-organization queries to overcome siloed cybersecurity data and viewpoints. The technical core involves specialized cryptographic protocols to facilitate these queries and responses while...
- The National Science Foundation (NSF) awarded a $1.2M Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to enhance the security and privacy of community cyberinfrastructures (CI) for collaborative research. This 3-year project focuses on developing advanced techniques to secure data management and computation within CI systems, including centralized computing, distributed computing, and data computation. The...
- The National Science Foundation (NSF) awarded a $267,970 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Duke University. The grant supports a "Collaborative Research" project titled "SATC: CORE: MEDIUM: Transforming Intrusion Detection through Automated Cross-Organization Queries." The project aims to develop new technologies that enable organizations to share cybersecurity data and pose targeted queries to diagnose...
- This $500,000 National Science Foundation project grant supports the development of new cyberattack detection approaches for large networks using complex graph modeling. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), key products include constructing a complex graph model with graph refinement techniques to represent network traffic. The University of Virginia will design semi-supervised and weakly-supervised graph-based learning algorithms leveraging...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under its Integrative Activities program (CFDA 47.083) to the University of California, San Diego (UCSD) for the project "A GRAPH ANALYTICS APPROACH TO UNDERSTANDING LEAKAGE PATTERNS IN INFORMATION ESPIONAGE". The project aims to develop new tools and techniques to help universities and research agencies better understand when and how valuable discoveries funded by U.S. taxpayers may be subject to malign foreign...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Illinois for a 4-year collaborative research project on privacy-preserving machine learning on graph-structured data. The project aims to develop innovative, efficient algorithms for training and updating large-scale graph neural network models while preserving the privacy of sensitive graph data across applications in areas...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Illinois to develop a security data lake for evaluating AI-driven cybersecurity solutions. The "AICYBERLAKE" project will curate a real-time, anonymized stream of cyber attack data from national supercomputing centers to provide a longitudinal dataset for vetted research teams to test their AI-based detection models. The project aims to...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will enable researchers at the University of California, San Diego (UC San Diego) to develop a new service to the cybersecurity research community. The service will leverage artificial intelligence (AI) techniques to infer the utility of datasets and software tools based on their documented use in scientific publications. This capability will address a...
- The National Science Foundation (NSF) awarded a $174,608 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of North Dakota (UND) for the project "CRII: SATC: TOWARDS SUSTAINABLE INTRUSION DETECTION FOR EDGE VIA SPATIAL COLLABORATION AND TEMPORAL KNOWLEDGE RETENTION." The project aims to develop effective and adaptive intrusion detection systems (IDS) for edge computing environments, which are critical for sectors...
This $238,925 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program is supporting the development of advanced privacy protection methods for graph-based intrusion detection systems. The University of California, Irvine is leading this research project to create cryptographic protocols and data partitioning strategies that enable organizations to collectively analyze network traffic data to detect cyber attacks, without exposing sensitive information. The goal is to strengthen cybersecurity defenses across critical infrastructure, support economic competitiveness through improved data protection, advance national security through enhanced threat detection, and enable compliance with privacy regulations. The project will run from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $238.9k | 8/19/25 |