The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to Arizona State University (ASU) to develop TrustSAS, an innovative AI/ML-powered trustworthy Spectrum Access System (SAS). The key products and services to be delivered through this 3-year grant include: 1) VERISS, a framework that uses graphical neural networks to analyze and evaluate the trustworthiness of crowdsourced spectrum sensing data; 2) TrustSML, a novel system to rapidly and accurately localize multiple simultaneous spectrum misusers; and 3) PRICCS, a spatial crowdsourcing framework that enables cost-effective and privacy-preserving spectrum sensing task assignment. The research aims to enable comprehensive and efficient dynamic spectrum sharing while maintaining strong security and privacy. The project deliverables, including tutorials, talks, publications, and open-source toolkits, will be made publicly available.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $400.0k | 9/7/23 |