Project Grant DESC0019976

This Cooperative Agreement award from the Department of Energy's Office of Cybersecurity, Energy Security, and Emergency Response (CESER) program (CFDA 81.008) provides $5,583,698.00 to the Electric Power Research Institute Inc. (EPRI) to develop an integrated, automated system to identify third-party and potential zero-day vulnerabilities, verify their exploitability dynamically, and create a feedback loop for rapid enhancement of static analysis capabilities. The objectives of this 3-year...

The National Science Foundation (NSF) awarded a $1,498,856 Project Grant under its Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the University of Illinois to develop an integrated, open-source ecosystem called OpenAD for anomaly detection. The project aims to unify existing open-source anomaly detection systems into a comprehensive platform that supports diverse data types and application domains. Key goals include establishing a standardized development environment,...

The National Science Foundation awarded a $340,000 project grant to the Massachusetts Institute of Technology from May 2021 to April 2024. The grant supports the development of a self-tuning anomaly detection service under the Computer and Information Science and Engineering program. This program aims to advance computing and information sciences through investigator-initiated research and cyberinfrastructure development. Specifically, MIT will leverage the grant to create an automated anomaly...

The National Institute of Standards and Technology (NIST) awarded a $250,000 Project Grant under the Congressionally-Identified Projects program (CFDA 11.617) to Norwich University Applied Research Institutes LTD (Nuari) to develop an advanced cybersecurity architecture tailored for additive manufacturing operational technology. Nuari will collaborate with academic and commercial partners to devise this architecture, which aims to preemptively detect vulnerabilities and potential cyber threats...

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...

This $255,391 National Science Foundation Technology, Innovation, and Partnerships grant funds Anomalee Inc. to develop a commercially viable prototype for certifying deep neural networks against backdoor attacks. Backdoor attacks maliciously poison AI models to misclassify inputs containing hidden trigger patterns. Anomalee's unsupervised method will mathematically evaluate DNNs for such vulnerabilities without examples of poisoned models or access to training data, addressing a critical need...

Charles River Analytics, Inc. was awarded a $199,954 Project Grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) on June 27, 2022. The grant supports the BAYESIAN, ADVANCED, NOVEL, DETAILED, AND ACTIONABLE INTRUSION DETECTION (BANDAID) project through June 26, 2023. The project will develop new intrusion detection techniques using Bayesian and machine learning methods to analyze network traffic data in a more advanced,...

This $150,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is supporting research on improving anomaly detection techniques for the Internet of Things (IoT). The project aims to address technical gaps in the widespread adoption of novelty detection models by developing methods to generate labeled datasets and enable the transfer of models from controlled lab settings to real-world IoT deployments....

This $1,000,000 Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of the SUNIGATE: Secure Universal and Intelligent Data Gateway prototype. This project aims to enhance critical infrastructure security by improving the detection, mitigation, and response capabilities against cyberattacks through fast and low-complexity strategies. The proposed solution utilizes flexible, low-cost, and...

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...