Pal Varga

Associate Professor

Budapest University of Technology and Economics

Hungary

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About

Pal Varga is an Associate Professor at Budapest University of Technology and Economics, Hungary. His research focuses on advanced topics such as DDoS detection and mitigation, the integration of Beyond-5G and 6G technologies in IIoT and smart grids, and the application of blockchain for security in IoT systems. He has published extensively on areas including industrial automation, machine learning applications for production, and 5G-enabled autonomous driving.

Articles (12)

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (6)

FELIX LARRINAGA BARRENECHEA

SPAIN

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Alain Perez Riaño

Lecturer & Researcher

Mondragon Unibertsitatea Escuela Politécnica Superior

SPAIN

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Ravi Sharma

Eindhoven University of Technology

NETHERLANDS

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Jerker Delsing

Lulea University of Technology

SWEDEN

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Csaba Hegedűs

Budapest University of Technology and Economics

HUNGARY

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Sandor Molnar

Associate Professor

Budapest University of Technology and Economics

HUNGARY

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Pal Varga

Research Interests

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About

Articles (12)

Real-Time Detection and Mitigation Strategies Newly Appearing for DDoS Profiles

How Beyond-5G and 6G Makes IIoT and the Smart Grid Green—A Survey

Leveraging Blockchain Technology for Ensuring Security and Privacy Aspects in Internet of Things: A Systematic Literature Review

Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation

Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G—Critical Challenges, Solutions, and Vision towards 6G: A Survey

Applied Machine Learning for IIoT and Smart Production—Methods to Improve Production Quality, Safety and Sustainability

Converging Telco-Grade Solutions 5G and beyond to Support Production in Industry 4.0

Positioning in 5G and 6G Networks—A Survey

System of Systems Lifecycle Management—A New Concept Based on Process Engineering Methodologies

5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach

Improving the Maintenance of Railway Switches through Proactive Approach

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Collaborators (6)

FELIX LARRINAGA BARRENECHEA

Alain Perez Riaño

Ravi Sharma

Jerker Delsing

Csaba Hegedűs

Sandor Molnar

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