Project Grant 2325564

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $200K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Newark, DE 19716, USA
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $200,000 provides funding for a 3-year collaborative research project at the University of Delaware focused on developing TrustSAS, an innovative AI/ML-powered trustworthy Spectrum Access System (SAS) for dynamic spectrum sharing.

The key products and services to be delivered through this grant include:

  • Veriss, a framework for verifiable spectrum sensing using graphical neural networks to evaluate the trustworthiness of crowdsourced spectrum sensor data
  • TrustSML, a framework for fast, accurate, and trustworthy localization of spectrum misusers
  • PRICCS, a spatial crowdsourcing framework that enables cost-effective and privacy-preserving spectrum sensing task assignment

This research aims to address security and privacy concerns in crowdsourcing-assisted dynamic spectrum sharing systems, while advancing the use of AI/ML technologies to enable trustworthy spectrum management. The project's deliverables, including tutorials, talks, publications, and open-source tools, will be made publicly available.

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