SaTC: CORE: Medium: Secure Resource Management in NextG Radio Access Networks: Attacks, De — NSF Award to University of Arizona (A
Next Generation (NextG) networks aim to create an immersive multi-sensory user experience by supporting new technologies such as integrated precision sensing, artificial intelligence/machine learning (AI/ML) optimizations for automated network management, and a virtualizable architecture running on commodity hardware.
| Award title | SaTC: CORE: Medium: Secure Resource Management in NextG Radio Access Networks: Attacks, De |
|---|---|
| Award ID | 2432139 |
| Awardee | University of Arizona |
| City | TUCSON |
| State | AZ |
| Amount obligated | $670,000 |
| Principal investigator | Loukas Lazos |
| Program | Secure &Trustworthy Cyberspace |
| Start date | 10/01/2025 |
| Abstract | Next Generation (NextG) networks aim to create an immersive multi-sensory user experience by supporting new technologies such as integrated precision sensing, artificial intelligence/machine learning (AI/ML) optimizations for automated network management, and a virtualizable architecture running on commodity hardware. Prominent in NextG networks is a new service-centric model, in which infrastructure providers virtualize the network into logically isolated network slices, running services with d |
| Source | NSF Awards |
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