Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-20
D
Dong Jin
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
High Impact
Associate Professor
Faculty Researcher
22 h-index
112 pubs
1,711 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dong Jin is an Associate Professor at the University of Arkansas at Fayetteville. His research focuses on the security of computer networks and power grids, particularly in the context of artificial intelligence and advanced computing technologies. Jin has received federal funding from the National Science Foundation (NSF) totaling $355,000 for several projects, including work on enabling programmable in-network security for attack-resilient smart grids and planning grants for establishing a Center for Infrastructure Security in the Era of AI (ISEAI).
His recent publications span diverse areas such as quantum network simulation, federated incremental learning for intrusion detection, power grid restoration planning, and graph neural networks for causality discovery in multi-step attack scenarios. Jin also has experience in enhancing the fidelity of network emulation and improving industrial network protocol security using programmable switches.
With an h-index of 22 and over 112 publications, Jin has a significant publication record. He leads a research group and collaborates with several colleagues at the University of Arkansas at Fayetteville, including Yanfeng Qu and Zheng Hu, on shared publications. His work is recognized with a high-impact researcher designation for being highly cited.
Metrics
- h-index: 22
- Publications: 112
- Citations: 1,711
Selected Publications
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Guest editorial: Special issue on AI for cyber-physical energy systems (2026)
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Programmable Data Plane Approaches for ML-Based Anomalous Event Classification in Grid Sensor Networks (2026)
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I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems (2026)
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Data-Plane Programmable Network Emulation Testbed with Dynamic Hardware Offloading (2026)
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HPC Congestion Analysis via Programmable Data-Plane Network Emulation (2026)
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Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development (2025)
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Self-Healing PMU Networks Using Data Plane Programmable Switches (2025)
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In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025)
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Introduction to the Special Issue on PADS 2023 (2025)
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Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation (2025)
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Introduction to the Special Issue on PADS 2022 (2024)
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A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches (2024)
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Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids (2024)
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Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation (2024)
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Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments (2024)
Federal Grants 5 $355,000 total
NSF
PI
Nov 2022 - Oct 2023
NSF
PI
Sep 2024 - Aug 2025
NSF
PI
Jun 2023 - May 2027
NSF
PI
May 2025 - Apr 2026
NSF
PI
Apr 2024 - Mar 2025
Collaboration Network
Top Collaborators
Yanfeng Qu
University of Arkansas at Fayetteville
11 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Cyber-Physical Simulation Testbed for MadIoT Attack Detection and Mitigation
- VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
Showing 5 of 11 shared publications
Zheng Hu
University of Arkansas at Fayetteville
9 shared publications
In database
- Enhancing Fidelity of P4-Based Network Emulation with a Lightweight Virtual Time System
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Integrating I/O Time to Virtual Time System for High Fidelity Container-based Network Emulation
- VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
Showing 5 of 9 shared publications
Gong Chen
Illinois Institute of Technology (US)
4 shared publications
- Enhancing Fidelity of P4-Based Network Emulation with a Lightweight Virtual Time System
- Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation
- Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation
- Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments
Hui Lin
University of Rhode Island (US)
4 shared publications
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- HELICSAuto: Automating the Development of Cyber-Physical Co-Simulation Framework for Smart Grids
- Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids
Gong Chen
Illinois Institute of Technology (US)
3 shared publications
- Integrating I/O Time to Virtual Time System for High Fidelity Container-based Network Emulation
- Cyber-Physical Simulation Testbed for MadIoT Attack Detection and Mitigation
- VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications
Luke Waind
University of Arkansas at Fayetteville
3 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Comparative Analysis and Evaluation of P4-Based Network Emulation Testing Environments
- Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation
Christopher Hannon
Illinois Institute of Technology (US)
2 shared publications
- Real-time Anomaly Detection and Classification in Streaming PMU Data
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
Xiaoliang Wu
Illinois Institute of Technology (US)
2 shared publications
- SeQUeNCe: a customizable discrete-event simulator of quantum networks
- Replicated Computational Results (RCR) Report for “A New Test for Hamming-Weight Dependencies”
Alexander Aved
United States Air Force Research Laboratory (US)
2 shared publications
- Towards Optimal and Executable Distribution Grid Restoration Planning With a Fine-Grained Power-Communication Interdependency Model
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
Reuben Samson Raj
University of Arkansas at Fayetteville
2 shared publications
In database
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- A Framework to Evaluate PMU Networks for Resiliency Under Network Failure Conditions
Gong Chen
Illinois Institute of Technology (US)
2 shared publications
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
Eva Casto
University of Arkansas at Fayetteville
2 shared publications
In database
- In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices
- In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches
Christopher D. Carothers
Rensselaer Polytechnic Institute (US)
2 shared publications
- Introduction to the Special Issue on PADS 2022
- Introduction to the Special Issue on PADS 2023
Deepjyoti Deka
Los Alamos National Laboratory (US)
1 shared publication
- Real-time Anomaly Detection and Classification in Streaming PMU Data
Marc Vuffray
Los Alamos National Laboratory (US)
1 shared publication
- Real-time Anomaly Detection and Classification in Streaming PMU Data
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