Project Grant 2210299
- The National Science Foundation awarded a $299,389 Project Grant to Mississippi State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research to develop new scalable defenses against Sybil attacks in dynamic computer networks. Sybil attacks involve an adversary impersonating multiple identities to disrupt a network. Existing defenses require constant resource burning by legitimate participants regardless of attack...
- 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 (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Oklahoma to conduct research on improving wireless network security designs. The 3-year project aims to: (i) create stronger adversary models to understand the limitations of security in IoT systems leveraging wireless channel properties, and (ii) design new defense strategies to advance the state-of-the-art in wireless network...
- Arizona State University was awarded an $813,331 project grant from the National Science Foundation's Computer and Information Science and Engineering program to investigate algorithmic theory and distributed computing problems for dynamic networks. The three-year award beginning June 1, 2023 will support research into asynchronous concurrency and adaptive self-organization in anonymous dynamic networks. Specifically, the University will design distributed systems that can adapt their behavior...
- The National Science Foundation (NSF) awarded a $1.2M Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to enhance the security and privacy of community cyberinfrastructures (CI) for collaborative research. This 3-year project focuses on developing advanced techniques to secure data management and computation within CI systems, including centralized computing, distributed computing, and data computation. The...
- The National Science Foundation awarded Princeton University a $411,476 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to develop the theoretical foundations of trust-centered resilience for distributed coordination and optimization of multi-agent systems in the presence of adversaries. Specifically, the funding will support research from June 2022 to May 2026 to establish analytical frameworks and efficient exploitation of stochastic information...
- This $300,000 National Science Foundation project grant supports research into robust machine learning under sparse adversarial attacks through 2025. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the University of California, Santa Barbara will develop theoretical frameworks and defense methods to make machine learning models resilient against perturbations affecting few data points. Specifically, the researchers aim to establish fundamental limits of...
- This three-year, $244,997 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable methods for analyzing large-scale network traffic data to quantify internet-of-things (IoT) device insecurities and characterize malicious IoT campaigns. The awardee, San Diego State University Research Foundation, will work with collaborators to design algorithms and formal methods using supervised deep learning to fingerprint exploited...
- This $299,839 National Science Foundation project grant supports research at the New Jersey Institute of Technology to develop authority distribution techniques for resilient communication networks. The Computer and Information Science and Engineering program aims to advance computing and information sciences through investigator-initiated research and education. Specifically, the grant will fund three interrelated research thrusts over a 30-month period ending January 2025. The first thrust...
- 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 three-year, $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable defenses against Sybil attacks in dynamic computer networks. The University of New Mexico will collaborate with cybersecurity practitioners and academia through two research workshops to design new defenses where the resource burning cost to legitimate participants grows slowly as a function of the adversary's resources and rate of participants joining and departing the system. The project will address efficient group maintenance in peer-to-peer networks, defending against spam in e-commerce review systems, and cloud-based denial-of-service mitigation. Leveraging machine learning, the defenses will estimate adversarial activity to determine an appropriate resource burning cost in a manner that provides guarantees against persistent attacks despite estimation errors. Theoretical research will be complemented by empirical evaluations of the proposed defenses.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/26/22 |