# CRII: SaTC: Towards Sustainable Intrusion Detection for Edge via Spatial Collaboration and Temporal Knowledge Retention

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of North Dakota Main Campus (ND) · $174,608

## Abstract

With the rapid growth of edge computing in critical sectors such as healthcare, smart cities, and distributed energy resource systems, securing these systems against cyber threats has become a national priority. However, conventional cybersecurity solutions struggle to meet the unique demands of edge environments, which are characterized by decentralized architectures, limited computing resources, and ever-changing threat patterns. This project aims to strengthen national cybersecurity by developing effective, adaptive, and collaborative Intrusion Detection Systems (IDS) specifically designed for edge environments. By enabling edge devices to share threat knowledge securely and retain critical information about past attacks, the research contributes to more resilient and sustainable network protection. The outcomes will advance scientific knowledge in cybersecurity and artificial intelligence, support public safety and national defense, and provide educational and outreach opportunities to equip the next generation of engineers and cybersecurity professionals.


This project investigates two major challenges in deploying effective AI-based intrusion detection in edge computing environments: (1) how to enable decentralized, collaborative threat detection via spatial knowledge sharing among edge devices, and (2) how to ensure sustainable IDS performance through temporal knowledge retention. The proposed research introduces a federated learning-based framework that allows edg

## Key facts

- **NSF award ID:** 2451357
- **Awardee organization:** University of North Dakota Main Campus (ND)
- **SAM.gov UEI:** RSWNKK6J8CF3
- **PI:** Jielun Zhang
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** SaTC: Secure and Trustworthy Cyberspace, CISE Resrch Initiatn Initiatve, EXP PROG TO STIM COMP RES
- **Estimated total:** $174,608
- **Funds obligated:** $174,608
- **Transaction type:** Standard Grant
- **Period:** 07/01/2025 → 06/30/2027

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451357

## Citation

> US National Science Foundation, Award 2451357, CRII: SaTC: Towards Sustainable Intrusion Detection for Edge via Spatial Collaboration and Temporal Knowledge Retention. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2451357. Licensed CC0.

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