# CRII: CPS: Combining Guaranteed Privacy and Resiliency in Dynamic Cyber-Physical Systems

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of Tulsa (OK) · $175,000

## Abstract

Modern autonomous systems—like self-driving cars, smart energy grids, and robotic teams—depend on massive amounts of data and complex algorithms to operate safely and efficiently. While this reliance enables powerful capabilities, it also opens the door to new vulnerabilities. In particular, these systems often share information across networks to coordinate actions, making them targets for cyber threats. Attackers can exploit shared data to uncover private details like vehicle locations or mission objectives. As these technologies become more embedded in everyday life, ensuring
the privacy, security, and resilience of cyber-physical systems (CPS) is critical for public safety, especially in sectors like transportation, energy, and emergency response.

This project tackles the dual challenge of privacy preservation and attack resilience in dynamic, networked CPS environments. It introduces a new framework that combines Guaranteed Privacy—a deterministic, performance-aware alternative to differential privacy—with robust control strategies grounded in set-valued estimation and resilient feedback design. The goal is to enable distributed CPS agents to operate safely, even when communication is intercepted or compromised. Beyond technical contributions, the project supports STEM education and workforce development through the Tulsa Cyber Camp, student research at the Center for Information Security (TUCIS), and partnerships with local industries and national labs.

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## Key facts

- **NSF award ID:** 2451042
- **Awardee organization:** University of Tulsa (OK)
- **SAM.gov UEI:** P23YK1EKPS51
- **PI:** Mohammad Khajenejad
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** CISE Resrch Initiatn Initiatve
- **Estimated total:** $175,000
- **Funds obligated:** $175,000
- **Transaction type:** Standard Grant
- **Period:** 07/01/2025 → 06/30/2027

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451042

## Citation

> US National Science Foundation, Award 2451042, CRII: CPS: Combining Guaranteed Privacy and Resiliency in Dynamic Cyber-Physical Systems. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2451042. Licensed CC0.

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