Project Grant N000142412414

This is a Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The total funding amount is $369,693.00, awarded on Oct 1, 2025 with a completion date of Sep 30, 2030. The project aims to transform cybersecurity defenses against advanced persistent threats (APTs) by leveraging large language models (LLMs) and their ability to understand and generate human language. The key objectives are to enable...

This $300,000 Project Grant awarded by the National Science Foundation (CFDA 47.083 - Integrative Activities) to Virginia Polytechnic Institute & State University (Virginia Tech) aims to develop and validate a lifecycle-based typology of threats to secure artificial intelligence (AI) research. The project will explore how to better safeguard AI research from growing security risks, including data breaches, intellectual property theft, and foreign interference, that could undermine the...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $225,000 to Michigan State University aims to develop a user-centered platform for digital content integrity. The project, titled "Collaborative Research: REDDDOT Phase 2: A User-Centered Platform for Digital Content Integrity," seeks to protect the integrity of digital content and maintain public trust in the face of threats posed by advanced generative AI...

This $775,000 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a user-centered digital content forensics platform to protect the integrity of online digital content and maintain public trust. The project team at the Rochester Institute of Technology (RIT) is integrating multiple digital content forensic tools into a single platform, employing a user-centered design process to...

This $265,948 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to improve the reliability and scientific integrity of threat modeling experiments in software security. The project aims to develop best practices for conducting human-centered threat modeling studies, which are essential for ensuring software is secure. Key research activities include qualitative investigations of current...

This National Science Foundation Project Grant of $349,276 supports research at Worcester Polytechnic Institute to develop innovative machine learning and natural language processing techniques for automated analysis of documentation related to networked systems security. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the project aims to leverage documentation sources like specifications, developer guides, and other materials to discover security...

This Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $238,925 to the University of California, Irvine (UCI) to develop advanced privacy-preserving techniques for graph-based intrusion detection systems to protect against sophisticated cyberattacks. The project aims to create specialized cryptographic protocols and data partitioning strategies that enable organizations to collaborate on detecting...

The National Science Foundation Division of Computer and Network Systems awarded a $731,838 Project Grant to the University of Texas at Dallas to develop algorithms and techniques for learning the hidden structure of digital and analog circuits from side-channel measurements. This work aims to advance hardware security and integrity checking by allowing adaptive interaction with circuits to intelligently model arbitrary analog circuit side-channels and utilize non-linear solvers and...

This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program totaling $100,000.00 was awarded on June 15, 2022 to Texas Tech University to develop a technology platform to automatically measure user susceptibility to social engineering attacks. The platform will quantify individual users' personality traits, demographics, education, and experiences using publicly available information to estimate susceptibility to phishing attacks. This will help...

This $232,464 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of artificial intelligence (AI)-enabled analytics techniques to identify emerging cyber threat trends and link exploits to vulnerabilities. The funding will enable researchers at Indiana University to create a novel Diachronic Graph Transformer (DGT) model to detect and predict shifting exploit terminology and semantics,...