Project Grant 2427894

Award Date 9/1/24
Completion Date 8/31/27
Dollars Obligated $200K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Minneapolis, MN 55455, USA

The National Science Foundation (NSF) awarded a $199,997 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Regents of the University of Minnesota. The grant, titled "ATD: ADVANCING PRIVACY AND SECURITY IN COMPLEX NETWORKS BY STATISTICAL ALGORITHMS: SAFEGUARDING, MONITORING, AND REMEDIATION," will focus on improving data privacy and security within complex networks. The three-year project aims to: 1) introduce preventive measures to stop data breaches, 2) set up advanced monitoring to quickly detect irregularities, and 3) develop strategies to respond to security breaches. The research will leverage statistical modeling, data privacy, deep learning, and optimization techniques. Additionally, the project will integrate findings into academic curricula, provide research opportunities for students, and release open-source software tools to empower researchers, practitioners, and policymakers in implementing effective network security strategies. No sub-awards are planned under this grant.

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