Yanfeng Qu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Yanfeng Qu's research focuses on enhancing the security and performance of industrial and computer networks, particularly through the use of programmable switches and advanced emulation techniques. Qu has investigated methods for improving industrial network protocol security and explored the fidelity of P4-based network emulation. Recent work includes the development of VT-IO, a virtual time system designed for high-fidelity container-based network emulation, and the creation of a cyber-physical simulation testbed for detecting and mitigating IoT attacks. Additionally, Qu has studied dynamic data-driven approaches for cyber-resilient critical energy systems and explored in-network methods for recovering missing synchrophasor data using programmable network switches and deep learning. Qu has 15 publications with 44 citations and an h-index of 4, and has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Dong Jin and Zheng Hu.
Metrics
- h-index: 4
- Publications: 15
- Citations: 54
Selected Publications
-
In-Network Recovery of Delayed and Missing PMU Measurements using Programmable Switches (2025)
-
An In-Network Approach for PMU Missing Data Recovery with Data Plane Programmability (2025)
-
Enhancing P4-Based Network Emulation Fidelity Through a Lightweight Virtual Time System and Application Evaluation (2025)
-
A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches (2024)
-
Leveraging Compact Data Accumulator to Enable In-Network Anomaly Detection in Programmable Switches for Power Grids (2024)
-
Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation (2024)
-
In-Network Logging and Missing Data Recovery In PMU Networks via Programmable Data Plane Devices (2024)
-
Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches (2024)
-
Industrial Network Protocol Security Enhancement Using Programmable Switches (2023)
-
VT-IO: A Virtual Time System Enabling High-Fidelity Container-Based Network Emulation for I/O Intensive Applications (2023)
-
Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation (2023)
Collaboration Network
Top Collaborators
- 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
- 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
- Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation
- Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation
Showing 5 of 6 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
- 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
- Combining Power Simulation and Programmable Network Emulation for Smart Grid Security Application Evaluation
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Synchronized Power Simulation and Programmable Network Emulation Testbed for SCADA System Security Evaluation
- Industrial Network Protocol Security Enhancement Using Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- 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
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
- Dynamic Data-Driven Approach for Cyber-Resilient and Secure Critical Energy Systems
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
Similar Researchers
Based on overlapping research topics