Cooperative Agreement CB16ADR0160002

This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program provides $145,807 to The Trustees of Columbia University in the City of New York to advance research and develop algorithms for guaranteeing anonymity in large-scale network communications. The research aims to overcome limitations of current anonymous communication technologies, which are vulnerable to traffic analysis attacks that can compromise privacy....

This $288,085 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund collaborative research at Brown University to develop algorithms and techniques for guaranteeing anonymity in network communications. The research team will address two key challenges: (1) designing routing schemes that obscure traffic patterns and metadata, and (2) developing cryptographic tools to secure data even when network...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant award in the amount of $137,541 provides funding to Tufts University for research to develop algorithms and solutions to guarantee anonymity in network communications. The award addresses the fundamental challenge of obscuring meta-information about who is communicating with whom, when, and for how long, while mitigating increased communication and network congestion issues. The...

This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) grant program, supports the development of intelligent anonymization methods to preserve the privacy of clients' bio-signals while retaining data utility for clinical purposes. The $299,998.00 award, with a project duration from October 1, 2024 to September 30, 2027, focuses on two key technical thrusts: 1) Designing reinforcement...

This $600,000 National Science Foundation project grant supports research at Virginia Polytechnic Institute and State University to develop an anonymous mobile access architecture for next-generation mobile networks. The research aims to enable anti-tracking capabilities while using mobile networks by integrating decentralized identifiers and anonymous verifiable credential schemes into the 5G authentication and key agreement protocol. Key tasks include developing a secure callee discovery...

This three-year project grant from the National Science Foundation's Computer and Information Science and Engineering program will provide $248,675 to Georgetown University to develop methods for integrating legal and technical approaches to privacy in sociotechnical software systems. The researchers will establish technical interpretations of legal privacy concepts that can be incorporated into system design, analysis, and verification. They will also develop paradigms for translating technical...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070), totaling $456,905, aims to advance the theory and practice of anonymous communications by systematically exploring and leveraging radio frequency (RF) fingerprints inherent in communication devices. The key research thrusts include: (1) developing statistical models and identification methods for RF fingerprints, (2) achieving untraceable communications by...

The University of North Carolina at Chapel Hill received a $299,858 Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support the EAGER: COMPUTER-ASSISTED REDACTION AND ANONYMIZATION OF SCHOLARLY COMMUNICATIONS AND PRODUCTS (CARASCAP) project. The grant was awarded on July 15, 2021 under the Computer and Information Science and Engineering (CFDA #47.070) federal grant program to advance the development and use of research cyberinfrastructure and...

This $167,158 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a customizable, privacy-preserving database analytics system compatible with existing SQL databases. The key products to be delivered under this 4-year award include: Automated tools for analyzing a database schema and interactively developing a flexible privacy model to determine which data elements require differential...

This $350,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced bio-signal anonymization methods using generative AI models. The project aims to create privacy-preserving techniques that can obfuscate sensitive personal data in biomedical signals while preserving their utility for healthcare applications. Key technical thrusts include designing reinforcement...