Loading…

Loading grant details…

Active STANDARD GRANT National Science Foundation (US)

Collaborative Research: SaTC: CORE: Small: Enabling Programmable In-Network Security for an Attack-Resilient Smart Grid

$3.68M USD

Funder National Science Foundation (US)
Recipient Organization University of Arkansas
Country United States
Start Date Jun 01, 2023
End Date May 31, 2026
Duration 1,095 days
Number of Grantees 2
Roles Principal Investigator; Co-Principal Investigator
Data Source National Science Foundation (US)
Grant ID 2247721
Grant Description

Modern energy systems are increasingly adopting Internet technology to boost efficiency, which opens new security frontiers. On the one hand, the underlying network infrastructure used by existing power grids significantly limits the performance of current security measures. On the other hand, Internet companies are undergoing a foundational change in their network infrastructure, mainly driven by deploying advanced programmable network architectures.

This project aims to create and quantify programmable in-network security measures for an attack-resilient power grid. Achieving this objective involves integrating the advancement of data-plane programmability into energy system cyber infrastructure, and based on this, further exploring numerous applications across attack detection, mitigation, and prevention to secure today’s energy systems.

The outcomes of the project will have significant impacts on industrial practice through the suitable adoption of the proposed programmable cyber-infrastructure to realize a defense-in-depth approach for future energy systems. The work will also train students and workforce with cutting-edge and cross-disciplinary knowledge in power systems, networking, and cyber-security.

The project aims to build the next-generation programmable cyber-infrastructure for energy system protection with three research thrusts: (i) an in-network cyber-attack detection system with high-speed and customizable packet inspection; (ii) a self-healing system that automatically restores network connectivity and recovers corrupted measurements by considering characteristics from both communication networks and physical devices; and (iii) an in-network traffic scheduler that disrupts attack reconnaissance while maintaining quality-of-service requirements. The impact of the proposed research will lay a scientific foundation for system design through the development of models, algorithms, and tools that incorporate both cyber and physical system properties.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

All Grantees

University of Arkansas

Advertisement
Apply for grants with GrantFunds
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant