Project Grant 2453149
- 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...
- 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...
- 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 University of Illinois was awarded a $1,201,199 project grant from the National Science Foundation Division of Computer and Network Systems to support research titled "SATC: CORE: MEDIUM: PRINCIPLED FOUNDATIONS FOR THE DESIGN AND EVALUATION OF GRAPH-BASED HOST INTRUSION DETECTION SYSTEMS." The award period is from October 1, 2021 to September 30, 2025. The grant supports research and development activities under the NSF's Computer and Information Science and Engineering program...
- 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...
- 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 its Computer and Information Science and Engineering (CISE) program to Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs. The grant supports a 4-year collaborative research project to develop innovative, privacy-preserving machine learning algorithms for analyzing graph-structured data. Key objectives include designing non-uniform privatization protocols to balance data utility and...
- 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...
- The National Science Foundation Division of Computer and Network Systems awarded a $175,000 Project Grant to the Illinois Institute of Technology under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research towards understanding the robustness of graph neural networks against graph perturbations. The two-year award beginning June 1, 2023 will fund the development of both restricted and stringent black-box graph perturbation attacks on graph...
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 competitiveness through improved data protection, and enhancing threat detection capabilities. The research activities include developing specialized cryptographic protocols for essential graph-based data analysis operations, utilizing data partitioning strategies and computational models to minimize the overhead of cryptographic protocols. The project will implement selective revelation of intermediate results under differential privacy to improve system efficiency while maintaining robust privacy protections.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $128.1k | 8/19/25 |