This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
The National Science Foundation awarded a $175,000 Project Grant to the University of Alabama from May 2021 through April 2023 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop cyber resilient localization and navigation technologies for autonomous vehicles. The Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and information science...
This Project Grant award of $328,423 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the security and resilience of distributed cyber-physical systems (CPS). The University of Florida is the prime awardee and will focus on three key objectives: (1) detecting cyber-attacks and malicious activities using novel algorithms; (2) analyzing the impacts of cyber threats and providing diagnostics; and (3) developing...
This $427,891 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award will support the development of a novel architecture called RESONET (Resilient and Secure Operation of Networked Real-Time Systems). The project aims to establish foundational principles that enable multiple real-time systems, such as autonomous vehicles and industrial automation, to carry out coordinated operations securely and with timeliness guarantees, even in...
This Project Grant award of $226,180, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to enhance the security of cyber-physical systems (CPS) that utilize reinforcement learning, such as autonomous vehicles. The project will develop innovations to achieve safe and secure reinforcement learning, protecting users from system vulnerabilities and systems from attacks. Key focus areas...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $364,952 to the University of Texas at Arlington (UTA) to develop methods for securing connected autonomous vehicle systems against cyber-physical attacks. The project aims to address critical security vulnerabilities in the complex interactions between self-driving software and vehicle control systems, investigating hybrid attacks targeting...
This Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a unified research platform and training curriculum for automotive cybersecurity. The award aims to build expertise in the automotive cyber domain through three key initiatives: (1) developing an open-source cyberinfrastructure testbed for automotive and autonomous systems research, (2) creating modular training materials...
This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...
This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...
This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support research at The Ohio State University to develop situational awareness strategies for autonomous cyber-physical systems operating in dynamic, uncertain environments. The objectives of the six-month project beginning October 1, 2022 are to analyze environmental observability for multiple autonomous agents, develop on-the-fly adaptation strategies to refine...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program provides $205,557 to the University of Alabama to conduct research and education related to cyber-resilient navigation for autonomous systems. The key objectives are to: (1) understand and assess cyber threat uncertainties of integrated positioning and navigation systems, (2) model self-learning based cyber-attacks, (3) formulate cyber-attack detection algorithms, and (4) develop secure navigation solutions for contested environments. The research aims to advance fundamental knowledge on autonomous navigation challenges aggravated by growing cyber risks. The education plan involves engaging engineering students in cross-disciplinary research, implementing game-based learning platforms for K-12 students, and conducting outreach programs. No subawards are planned under this 5-year project starting on June 1, 2024.