# CICI:RSSD: Hybrid Cyber-Physical Testbed for Manufacturing Security: A Living Lab for Data Driven Manufacturing Cybersecurity and AI Driven Smart Manufacturing Research

> **NSF 01002627DB NSF RESEARCH & RELATED ACTIVIT** · University of Georgia Research Foundation Inc (GA) · $600,000

## Abstract

Manufacturing contributes $2.9 trillion to U.S. gross domestic product, and improving its cyberinfrastructure resilience is essential for economic competitiveness and national security. Modern manufacturing has evolved into a data-intensive scientific cyberinfrastructure in which interconnected sensors, learning-enabled controllers, and human-in-the-loop decision systems drive production, yet the research community lacks open, FAIR-compliant security datasets that capture the tightly coupled cyber-physical-human interactions characteristic of realistic manufacturing environments. 

This project builds and operates a publicly accessible, annotated security dataset for manufacturing cyberinfrastructure by integrating a fully instrumented assembly testbed at the University of Georgia Innovation Factory with a high-fidelity digital twin simulator. The platform generates time-synchronized, multimodal traces organized by the Purdue Enterprise Reference Architecture, spanning network logs, physical process data such as torque curves and vibration signatures, and de-identified operator metadata collected under benign, fault, and adversarial conditions. Key innovations include a hybrid generation environment that uses a digital twin for deterministic replay and safe exploration of rare or safety-constrained events; a three-dimensional attack surface characterization encompassing cyber, physical, and human layers; and integrity-verified data lineage pipelines that ensure dataset auth

## Key facts

- **NSF award ID:** 2613669
- **Awardee organization:** University of Georgia Research Foundation Inc (GA)
- **SAM.gov UEI:** NMJHD63STRC5
- **PI:** Jaime A Camelio
- **Primary program:** 01002627DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Advanced Manufacturing
- **Estimated total:** $600,000
- **Funds obligated:** $600,000
- **Transaction type:** Standard Grant
- **Period:** 08/01/2026 → 07/31/2029

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2613669

## Citation

> US National Science Foundation, Award 2613669, CICI:RSSD: Hybrid Cyber-Physical Testbed for Manufacturing Security: A Living Lab for Data Driven Manufacturing Cybersecurity and AI Driven Smart Manufacturing Research. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2613669. Licensed CC0.

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