This Project Grant award of $165,990 from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program supports the "COLLABORATIVE RESEARCH: REU SITE: TRUST: TRAINING RESEARCH FOR UNDERGRADUATE STUDENTS IN SECURE AND TRUSTED SYSTEMS" project. Over 3 years, the award will provide hands-on research training for 9 undergraduate students per year at Wright State University, the Air Force Institute of Technology, and the University of Kansas. The program aims to...
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...
This three-year, $425,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at The Pennsylvania State University to develop provably secure, online learning-based adaptive cyber defenses for real-world servers. The research aims to provide mathematically rigorous guarantees by synthesizing new models integrating machine learning, game theory, and control theory. It will...
The National Science Foundation awarded a $100,000 Project Grant to Virginia Polytechnic Institute & State University from October 1, 2021 to September 30, 2022 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds the EAGER: SOCIAL MEDIA BASED EARLY CYBERSECURITY THREAT DETECTION project. The Computer and Information Science and Engineering program supports investigator-initiated research and education in all areas of computing, communications,...
Wayne State University received a $240,000 project grant award from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of February 1, 2021 through January 31, 2024. The grant will support collaborative research examining how to balance predictability and security in the design of time-sensitive cyber-physical systems. The research aims to advance development and use of cyberinfrastructure to enable and accelerate...
This $499,861 National Science Foundation project grant under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of real-time, scalable and secure collaborative intelligence capabilities at the edge. Wayne State University is the primary awardee and will work with sub-awardee University of Delaware to implement collaborative learning algorithms enabling distributed, privacy-preserving training across edge devices for multi-target tracking...
The National Science Foundation (NSF) has awarded a $533,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Iowa State University of Science and Technology (Iowa State University). The 4-year grant, spanning from October 1, 2023 to September 30, 2027, aims to improve the performance, robustness, generalizability, and efficiency of deep learning models for critical software assurance tasks such as bug detection, debugging, test input...
This $200,000 National Science Foundation Project Grant supports research at Michigan State University to develop data-driven modeling techniques for securing cyber-physical systems. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the two-year award will create automated strategies using reinforcement learning to characterize attacker intent. Researchers will integrate defense approaches combining game theory, reinforcement learning and Bayesian...
This $175,000 two-year project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Old Dominion University Research Foundation to advance secure deep learning systems. The awardee will systematically study existing neural network backdoor attacks to understand fundamental attack principles. Based on these findings, the research team will develop algorithms to accurately detect neural backdoors embedded in deep learning...
This National Science Foundation Project Grant of $175,000 supports research at Wichita State University from June 2022 through January 2023 under the Computer and Information Science and Engineering program. The university will develop techniques to integrate security monitoring and detection mechanisms into real-time multicoored systems design. Specifically, the researchers will devise algorithms, scheduling models, and frameworks cognizant of real-time requirements; build design tools and...