Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-08
Y
Yanfeng Qu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Beijing University of Posts and Telecommunications (2012); Illinois Institute of Technology (2018–2023)
Faculty Researcher
4 h-index
16 pubs
54 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Yanfeng Qu's research focuses on enhancing the security and fidelity of industrial and synchrophasor networks, particularly through the application of programmable network switches and data plane programmability. Recent work has investigated methods for improving network emulation, including the development of lightweight virtual time systems to enable high-fidelity container-based network emulation for I/O intensive applications. Qu has also explored in-network approaches for synchrophasor missing data recovery and the enhancement of industrial network protocol security. Collaborations at the University of Arkansas at Fayetteville include 12 shared publications with Dong Jin and 6 with Zheng Hu. Qu's scholarship metrics include an h-index of 4, with a total of 16 publications and 48 citations.
Metrics
- h-index: 4
- Publications: 16
- Citations: 54
Selected Publications
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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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In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025)
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An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability (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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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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In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices (2024)
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Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches (2024)
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Industrial Network Protocol Security Enhancement Using Programmable Switches (2023)
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VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications (2023)
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Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation (2023)
Collaboration Network
Top Collaborators
Dong Jin
University of Arkansas at Fayetteville
10 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- 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
- Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids
Showing 5 of 10 shared publications
Zheng Hu
University of Arkansas at Fayetteville
7 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- 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
- Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids
- Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation
Showing 5 of 7 shared publications
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
- Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids
- I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems
Gong Chen
Illinois Institute of Technology (US)
2 shared publications
- 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
Luke Waind
University of Arkansas at Fayetteville
2 shared publications
In database
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation
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
Zhiyao He
University of Arkansas at Fayetteville
2 shared publications
In database
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability
Jack Norris
University of Arkansas at Fayetteville
2 shared publications
In database
- An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability
- In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices
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
Chen Gong
Illinois Institute of Technology (US)
2 shared publications
- A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches
- An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability
Reuben Samson Raj
University of Arkansas at Fayetteville
1 shared publication
In database
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
Xiaoyu Guo
University of Arkansas at Fayetteville (US)
1 shared publication
- A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches
Christine Hertzog
Electric Power Research Institute (US)
1 shared publication
- An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability
Xiaoyu Guo
University of Arkansas at Fayetteville
1 shared publication
In database
- In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches
Dong Jin
University of Arkansas at Fayetteville
1 shared publication
In database
- I-DETECT: In-network Deep Packet Inspection for Timed Event Correlation in Industrial Control Systems
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