Reuben Samson Raj
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Graduate Research Assistant
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Reuben Samson Raj's research focuses on enhancing the security and resilience of critical infrastructure networks, particularly industrial control systems and synchrophasor networks. He investigates the use of P4 programmable switches to develop policy-driven, in-network security frameworks. His work also explores evaluating the resiliency of Power System Phasor Measurement Unit (PMU) networks under various failure conditions and applying machine learning-based anomaly detection in grid sensor networks through programmable data planes.
Raj has published on demonstrating multi-provider network and cloud service provisioning using blockchain smart contracts and developing dynamic, data-driven security frameworks for industrial control networks utilizing programmable switches. He has contributed to five publications and has an h-index of 2, with his most recent work appearing in 2026. Key collaborators include Dong Jin, Yanfeng Qu, and Zhiyao He, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 2
- Publications: 6
- Citations: 7
Positions
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Graduate Research Assistant 2021–presentUniversity of Arkansas at Fayetteville EECS ORCID
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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Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts (2025)
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Dynamic Data Driven Security Framework for Industrial Control Networks Using Programmable Switches (2025)
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Leveraging Data Plane Programmability Towards a Policy-driven In-Network Security Framework for Industrial Control Systems (2025)
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Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches (2024)
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A Framework to Evaluate PMU Networks for Resiliency Under Network Failure Conditions (2022)
Collaboration Network
Top Collaborators
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- A Framework to Evaluate PMU Networks for Resiliency Under Network Failure Conditions
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Towards Secure and Resilient Synchrophasor Networks Using P4 Programmable Switches
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Demonstration of Multi-Provider Network and Cloud Service Provisioning With Blockchain Smart Contracts
- Programmable Data Plane Approaches for ML-Based Anomalous Event Classification in Grid Sensor Networks
- Programmable Data Plane Approaches for ML-Based Anomalous Event Classification in Grid Sensor Networks
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