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Pál Varga
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2020 – today
- 2024
- [c74]Csaba Hegedüs, Pál Varga:
Co-pilots for Arrowhead-based Cyber-Physical System of Systems Engineering. NOMS 2024: 1-6 - [c73]Gergely Hollósi, Dániel Ficzere, Attila Frankó, Máté Bancsics, Ruba Almahasneh, Csaba Lukovszki, Pál Varga:
AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. NOMS 2024: 1-6 - [c72]Tamás Tóthfalusi, Zoltán Csiszár, Pál Varga:
Utilizing Generative AI for Test Data Generation - use-cases for IoT and 5G Core Signaling. NOMS 2024: 1-6 - [c71]Pál Varga, Ádám Kovári, Márton Herkules, Csaba Hegedüs:
MLOps in CPS - a use-case for image recognition in changing industrial settings. NOMS 2024: 1-4 - 2023
- [j17]Haider Dhia Zubaydi
, Pál Varga
, Sándor Molnár
:
Leveraging Blockchain Technology for Ensuring Security and Privacy Aspects in Internet of Things: A Systematic Literature Review. Sensors 23(2): 788 (2023) - [j16]Dániel Ficzere, Pál Varga, András Wippelhauser
, Hamdan Hejazi
, Olivér Csernyava
, Adorjan Kovacs
, Csaba Hegedüs
:
Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G - Critical Challenges, Solutions, and Vision towards 6G: A Survey. Sensors 23(16): 7031 (2023) - [c70]Dániel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga:
AI Toolbox Concept for the Arrowhead Framework. CNSM 2023: 1-7 - [c69]Csaba Hegedüs, Pál Varga:
Tailoring MLOps Techniques for Industry 5.0 Needs. CNSM 2023: 1-7 - [c68]Tamas Tothfalusi, Eszter Varga, Zoltan Csiszar, Pál Varga:
ML-Based Translation Methods for Protocols and Data Formats. CNSM 2023: 1-5 - [c67]Dániel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga, József Bíró:
Orderliness of Navigation Patterns in Hyperbolic Complex Networks. COMPLEX NETWORKS (3) 2023: 271-282 - [c66]David Hästbacka
, Minh Tran
, Petri Kannisto
, Mikael Filppula
, Pál Varga:
External Token-Based Authorization of Data-Driven Integrations and Service Compositions in MQTT 5. IECON 2023: 1-6 - [c65]Dániel Ficzere, Gergely Hollósi, Pál Varga:
Live traffic analysis on S1-MME interface using LSTM autoencoder. MeditCom 2023: 68-73 - [c64]Marcell Balogh
, András Földvári, Pál Varga:
Digital Twins in Industry 5.0: Challenges in Modeling and Communication. NOMS 2023: 1-6 - [c63]Csaba Hegedüs, Attila Frankó, Pál Varga, Stefan Gindl, Markus Tauber
:
Enabling Scalable Smart Vertical Farming with IoT and Machine Learning Technologies. NOMS 2023: 1-4 - [c62]Lajos Bence Makai, Pál Varga:
Predicting Mobility Management Demands of Cellular Networks based on User Behavior. NOMS 2023: 1-6 - [c61]Árpád Somogyi, Tamás Tettamanti, Pál Varga, Zsolt Szalay, Dániel Baranyai, Tamas Lovas:
Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements. NOMS 2023: 1-6 - [c60]Pal Patrik Varga, Pál Varga, Dániel Ficzere:
Analyzing self-similarities in network traffic, water levels, and currency exchange rates. NOMS 2023: 1-6 - 2022
- [j15]Gabor Soos
, Dániel Ficzere
, Pál Varga:
Analyzing group behavior patterns in a cellular mobile network for 5G use-cases. Int. J. Netw. Manag. 32(1) (2022) - [j14]Ferenc Mogyorósi
, Péter Revisnyei
, Azra Pasic
, Zsófia Papp
, István Töros
, Pál Varga
, Alija Pasic
:
Positioning in 5G and 6G Networks - A Survey. Sensors 22(13): 4757 (2022) - [j13]Attila Frankó
, Gergely Hollósi
, Dániel Ficzere
, Pál Varga:
Applied Machine Learning for IIoT and Smart Production - Methods to Improve Production Quality, Safety and Sustainability. Sensors 22(23): 9148 (2022) - [c59]Attila Frankó, Bence Oláh, Zoltán Sass, Csaba Hegedüs, Pál Varga:
Towards CBDC-supported Smart Contracts for Industrial Stakeholders. ICPS 2022: 1-6 - [c58]Dániel Ficzere, Dhruvin Patel, Joachim Sachs, Junaid Ansari, Gábor Soós, Pál Varga:
5G public network integration for a real-life PROFINET application. NOMS 2022: 1-5 - 2021
- [j12]Viktor Tihanyi
, Tamás Tettamanti
, Mihály Csonthó
, Arno Eichberger
, Dániel Ficzere
, Kálmán Gangel, Leander B. Hörmann
, Maria Anneliese Klaffenböck, Christoph Knauder, Patrick Luley
, Zoltán Ferenc Magosi, Gábor Magyar
, Huba Németh, Jakob Reckenzaun
, Viktor Remeli, András Rövid
, Matthias Rüther, Selim Solmaz
, Zoltán Somogyi
, Gábor Soós, Dávid Szántay, Tamás Attila Tomaschek
, Pál Varga
, Zsolt Vincze
, Christoph Wellershaus, Zsolt Szalay
:
Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies. Sensors 21(6): 2169 (2021) - [j11]Dániel Kozma
, Pál Varga, Felix Larrinaga
:
Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems. IEEE Trans Autom. Sci. Eng. 18(3): 1354-1366 (2021) - [c57]Dániel Ficzere, Gabor Soos, Pál Varga:
A compact 5G Non-Public Network. CNSM 2021: 518-520 - [c56]Dániel Ficzere, Gábor Soós, Pál Varga, Zsolt Szalay:
Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. IM 2021: 836-841 - [c55]Géza Kulcsár, Pál Varga, Marek S. Tatara, Federico Montori, Michel A. Iñigo, Gianvito Urgese, Paolo Azzoni:
Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems? IM 2021: 896-901 - [c54]Csaba Hegedüs, Pál Varga, Attila Frankó:
A DevOps Approach for Cyber-Physical System-of-Systems Engineering through Arrowhead. IM 2021: 902-907 - 2020
- [j10]Pál Varga, József Peto, Attila Franko, David Balla, Dávid Haja, Ferenc Nándor Janky, Gabor Soos
, Dániel Ficzere, Markosz Maliosz, László Toka:
5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps. Sensors 20(3): 828 (2020) - [j9]Attila Frankó
, Gergely Vida, Pál Varga:
Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0. Sensors 20(13): 3709 (2020) - [j8]Zsolt Szalay
, Dániel Ficzere, Viktor Tihanyi, Ferenc Magyar, Gábor Soós, Pál Varga
:
5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. Sensors 20(24): 7344 (2020) - [c53]Gábor Soós, Dániel Ficzere, Pál Varga:
Investigating the network traffic of Industry 4.0 applications - methodology and initial results. CNSM 2020: 1-6 - [c52]Jose Cabral, Kirill Dorofeev
, Pál Varga:
Native OPC UA Handling and IEC 61499 PLC Integration within the Arrowhead Framework. ICPS 2020: 596-601 - [c51]Csaba Hegedüs, Pál Varga, Szvetlin Tanyi:
A Governance Model for Local and Interconnecting Arrowhead Clouds. IECON 2020: 4497-4502 - [c50]Dániel Kozma, Pál Varga, Kristóf Szabó:
Achieving Flexible Digital Production with the Arrowhead Workflow Choreographer. IECON 2020: 4503-4510 - [c49]Géza Kulcsár, Kadosa Koltai, Szvetlin Tanyi, Bálint Péceli, Ákos Horváth, Zoltán Micskei, Pál Varga:
From Models to Management and Back: Towards a System-of-Systems Engineering Toolchain. NOMS 2020: 1-6 - [c48]Gábor Soós, Dániel Ficzere, Pál Varga:
User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases. NOMS 2020: 1-7 - [c47]Gábor Soós, Dániel Ficzere, Pál Varga, Zsolt Szalay:
Practical 5G KPI Measurement Results on a Non-Standalone Architecture. NOMS 2020: 1-5 - [c46]Gábor Soós, Dániel Ficzere, Pál Varga:
The Pursuit of NB-IoT Transmission Rate Limitations by Real-life Network Measurements. TSP 2020: 430-434
2010 – 2019
- 2019
- [j7]Roberto Passerone, Daniela Cancila, Michele Albano
, Sebti Mouelhi
, Sándor Plósz, Erkki Jantunen
, Anna Ryabokon
, Mohamed-Emine Laarouchi, Csaba Hegedüs, Pál Varga:
A Methodology for the Design of Safety-Compliant and Secure Communication of Autonomous Vehicles. IEEE Access 7: 125022-125037 (2019) - [j6]Peter Orosz
, Tamas Tothfalusi, Pál Varga:
FPGA-Assisted DPI Systems: 100 Gbit/s and Beyond. IEEE Commun. Surv. Tutorials 21(2): 2015-2040 (2019) - [c45]Dániel Kozma, Gábor Soós, Dániel Ficzere, Pál Varga:
Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. CNSM 2019: 1-6 - [c44]Jari Halme
, Erkki Jantunen
, David Hästbacka, Csaba Hegedüs, Pál Varga, Mikael Björkbom, Heikki Mesiä, Rupesh More, Antti Jaatinen, Laurentiu Barna, Pasi Tuominen, Henri Pettinen, Marko Elo, Martin Larrañaga
:
Monitoring of Production Processes and the Condition of the Production Equipment through the Internet. CoDIT 2019: 1295-1300 - [c43]Dániel Kozma, Pál Varga, Felix Larrinaga
:
Data-driven Workflow Management by utilising BPMN and CPN in IIoT Systems with the Arrowhead Framework. ETFA 2019: 385-392 - [c42]Csaba Hegedüs, Attila Frankó, Pál Varga:
Asset and Production Tracking through Value Chains for Industry 4.0 using the Arrowhead Framework. ICPS 2019: 655-660 - [c41]Péter Orosz, Pál Varga, Gábor Soós, Csaba Hegedüs:
QoS Guarantees for Industrial IoT Applications over LTE - a Feasibility Study. ICPS 2019: 667-672 - [c40]Rafael Rocha, Cláudio Maia
, Luis Lino Ferreira
, Pál Varga:
Improving and modeling the performance of a Publish-Subscribe message broker. IECON 2019: 5493-5498 - [c39]Bálint Gyires-Tóth, Pál Varga, Tamas Tothfalusi:
Utilizing Deep Learning for Mobile Telecommunications Network Management. IM 2019: 575-580 - [c38]Dániel Kozma, Pál Varga, Gábor Soós:
Supporting Digital Production, Product Lifecycle and Supply Chain Management in Industry 4.0 by the Arrowhead Framework - a Survey. INDIN 2019: 126-131 - [c37]Gábor Soós, Pál Varga:
On the Security Threat of Abandoned and Zombie Cellular IoT Devices. INDIN 2019: 996-1001 - [c36]Rafael Rocha, Luis Lino Ferreira, Cláudio Maia
, Pedro F. Souto
, Pál Varga:
Improving the performance of a Publish-Subscribe message broker. ISORC 2019: 91-92 - [c35]Gábor Soós, Ferenc Nándor Janky, Pál Varga:
Distinguishing 5G IoT Use-Cases through Analyzing Signaling Traffic Characteristics. TSP 2019: 562-565 - [i2]Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira, Pál Varga:
Optimising maintenance: What are the expectations for Cyber Physical Systems. CoRR abs/1903.12644 (2019) - 2018
- [j5]Balint Peceli
, Gabor Singler, Zoltán Theisz, Csaba Hegedüs, Zsolt Szepessy, Pál Varga:
Integrated Infrastructure for Electro Mobility Powered by the Arrowhead Framework. IEEE Access 6: 73210-73222 (2018) - [j4]Tamas Tothfalusi, Pál Varga
:
Assembling SIP-based VoLTE Call Data Records based on network monitoring. Telecommun. Syst. 68(3): 393-407 (2018) - [c34]Peter Orosz, Balázs Nagy, Pál Varga, Mitch Gusat:
Low False Alarm Ratio DDoS Detection for ms-scale Threat Mitigation. CNSM 2018: 212-218 - [c33]Csaba Hegedüs, Pál Varga, István Moldován:
The MANTIS Architecture for Proactive Maintenance. CoDIT 2018: 719-724 - [c32]Csaba Hegedüs, Paolo Ciancarini
, Attila Franko, Ales Kancilija, István Moldován, Gregor Papa
, Spela Poklukar, Mario Riccardi, Alberto Sillitti, Pál Varga:
Proactive Maintenance of Railway Switches. CoDIT 2018: 725-730 - [c31]Pál Varga, Dániel Kozma, Csaba Hegedüs:
Data-Driven Workflow Execution in Service Oriented IoT Architectures. ETFA 2018: 203-210 - [c30]Gabor Soos, Dániel Kozma, Ferenc Nándor Janky, Pál Varga:
IoT Device Lifecycle - A Generic Model and a Use Case for Cellular Mobile Networks. FiCloud 2018: 176-183 - [c29]Sándor Plósz, Pál Varga:
Security and safety risk analysis of vision guided autonomous vehicles. ICPS 2018: 193-198 - [c28]Csaba Hegedüs, Pál Varga, Attila Franko:
Secure and trusted inter-cloud communications in the arrowhead framework. ICPS 2018: 755-760 - [c27]Erkki Jantunen
, Giovanni Di Orio, Csaba Hegedüs, Pál Varga, István Moldován, Felix Larrinaga
, Martin Becker, Michele Albano
, Pedro Maló
:
Maintenance 4.0 World of Integrated Information. I-ESA 2018: 67-78 - [c26]Balázs Nagy, Peter Orosz, Tamas Tothfalusi, László Kovács, Pál Varga:
Detecting DDoS attacks within milliseconds by using FPGA-based hardware acceleration. NOMS 2018: 1-4 - [c25]Balázs Nagy, Peter Orosz, Pál Varga:
Low-reaction time FPGA-based DDoS detector. NOMS 2018: 1-2 - [c24]Pál Varga, Tamas Tothfalusi, Zsolt Balog, Gábor Sey:
Complex solution for VoLTE monitoring and cross-protocol data analysis. NOMS 2018: 1-4 - 2017
- [j3]Pál Varga, Fredrik Blomstedt, Luis Lino Ferreira, Jens Eliasson, Mats Johansson, Jerker Delsing, Iker Martínez de Soria
:
Making system of systems interoperable - The core components of the arrowhead framework. J. Netw. Comput. Appl. 81: 85-95 (2017) - [j2]Pál Varga, Csaba Hegedüs:
Inter-Cloud Communication Through Gatekeepers to Support IoT Service Interaction in the Arrowhead Framework. Wirel. Pers. Commun. 96(3): 3515-3532 (2017) - [c23]Pál Varga, Georgios Kathareios, Akos Mate, Rolf Clauberg
, Andreea Anghel, Peter Orosz, Balázs Nagy, Tamas Tothfalusi, László Kovács, Mitch Gusat:
Real-time security services for SDN-based datacenters. CNSM 2017: 1-9 - [c22]Pál Varga, Dániel Kozma, Tamas Tothfalusi:
Assembling VoLTE CDRs based on network monitoring - challenges with fragmented information. IM 2017: 979-982 - [c21]Sándor Plósz, Christoph Schmittner, Pál Varga:
Combining Safety and Security Analysis for Industrial Collaborative Automation Systems. SAFECOMP Workshops 2017: 187-198 - [c20]Pál Varga, Sándor Plósz, Gabor Soos, Csaba Hegedüs:
Security threats and issues in automation IoT. WFCS 2017: 1-6 - 2016
- [c19]Erkki Jantunen
, Urko Zurutuza
, Luis Lino Ferreira
, Pál Varga:
Optimising maintenance: What are the expectations for Cyber Physical Systems. EITEC@CPSWeek 2016: 53-58 - [c18]Csaba Hegedüs, Dániel Kozma, Gabor Soos, Pál Varga:
Enhancements of the Arrowhead Framework to refine inter-cloud service interactions. IECON 2016: 5259-5264 - [c17]Balint Peceli, Gabor Singler, Zoltán Theisz, Csaba Hegedüs, Pál Varga, Zsolt Szepessy:
Integrating an Electric Vehicle Supply Equipment with the Arrowhead framework. IECON 2016: 5271-5276 - [c16]Oscar Carlsson, Csaba Hegedüs, Jerker Delsing, Pál Varga:
Organizing IoT Systems-of-Systems from standardized engineering data. IECON 2016: 5277-5282 - [c15]Sándor Plósz, Csaba Hegedüs, Pál Varga:
Advanced Security Considerations in the Arrowhead Framework. SAFECOMP Workshops 2016: 234-245 - [c14]Jerker Delsing, Jens Eliasson, Jan van Deventer, Hasan Derhamy, Pál Varga:
Enabling IoT automation using local clouds. WF-IoT 2016: 502-507 - 2015
- [c13]Hasan Derhamy, Jens Eliasson, Jerker Delsing, Pablo Punal Pereira, Pál Varga:
Translation error handling for multi-protocol SOA systems. ETFA 2015: 1-8 - [c12]Pál Varga, László Kovács, Tamas Tothfalusi, Peter Orosz:
C-GEP: 100 Gbit/s capable, FPGA-based, reconfigurable networking equipment. HPSR 2015: 76-81 - [c11]Tamas Tothfalusi, László Kovács, Peter Orosz, Pál Varga:
100 Gbit/s network monitoring with on-the-fly reconfigurable rules for multi-encapsulated packets. HPSR 2015: 134-137 - [c10]Ákos Ladányi, Péter Olaszi, Pál Varga, Tibor Cinkler:
Network initiated Wi-Fi - LTE handovers with multipath TCP. HPSR 2015: 138-139 - [c9]Peter Orosz, Tamas Tothfalusi, Pál Varga:
C-GEP: Adaptive network management with reconfigurable hardware. IM 2015: 954-959 - [c8]Tamas Tothfalusi, Peter Orosz, Pál Varga:
C-GEP: Platform demo for 100 Gbit/s network monitoring. IM 2015: 1151-1152 - [c7]Peter Orosz, Tamas Skopko, Pál Varga:
Towards estimating video QoE based on frame loss statistics of the video streams. IM 2015: 1282-1285 - 2014
- [c6]Fredrik Blomstedt, Luis Lino Ferreira, Markus Klisics, Christos Chrysoulas
, Iker Martínez de Soria
, Brice Morin, Anatolijs Zabasta
, Jens Eliasson, Mats Johansson, Pál Varga:
The arrowhead approach for SOA application development and documentation. IECON 2014: 2631-2637 - [c5]Peter Orosz, Tamas Skopko, Zoltán Nagy, Pál Varga, Laszlo Gyimothi:
A case study on correlating video QoS and QoE. NOMS 2014: 1-5 - [i1]Sándor Plósz, Markus Tauber, Pál Varga:
Information Assurance System in the Arrowhead Project. ERCIM News 2014(97) (2014) - 2013
- [c4]Pál Varga, Péter Olaszi:
LTE core network testing using generated traffic based on models from real-life data. IEEE ANTS 2013: 1-6 - 2011
- [b1]Pál Varga:
Csomagkapcsolt hálózatokon nyújtott szolgáltatások minőségbiztosításának módszerei és metrikái. Budapest University of Technology and Economics, Hungary, 2011
2000 – 2009
- 2007
- [j1]Pál Varga, István Moldován:
Integration of Service-Level Monitoring with Fault Management for End-to-End Multi-Provider Ethernet Services. IEEE Trans. Netw. Serv. Manag. 4(1): 28-38 (2007) - 2006
- [c3]Pál Varga, Gergely Kún, Gábor Sey, István Moldován, Péter Gelencsér:
Correlating User Perception and Measurable Network Properties: Experimenting with QoE. IPOM 2006: 218-221 - 2005
- [c2]Pál Varga, Gergely Kún:
Utilizing higher order statistics of packet interarrival times for bottleneck detection. E2EMON 2005: 152-163 - [c1]Pál Varga:
Analyzing Packet Interarrival Times Distribution to Detect Network Bottlenecks. EUNICE 2005: 17-29
Coauthor Index
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