IoT Research Group (IoT RG)

The main research topics addressed by the research team include:

• Study and implementation of advanced communication methods in IoT networks and adapting them for IIoT;
• Vulnerability analysis and developing resilient communication protocols for IoT networks;
• Integrating smart-x into 5G and 6G networks (for various domains such as agriculture, logistics, healthcare, etc.);
• Collecting, storing, and processing data/signals obtained from IoT sensor networks.

Research fellows

Associate professor József Domokos PhD
Associate professor László Bakó PhD
Assistant professor László Zsolt Szabó PhD
Assistant professor Szabolcs Hajdú PhD
Assistant professor Sándor Endre Székely PhD
Assistant professor László Zsolt Turós PhD
Katalin Kocsis (Ferencz)
Géza Csernáth PhD (Sc. Gautinfo Srl.)

Partner institutions

HUN-REN Institute For Computer Science And Control –Ernő Rigó

https://www.sztaki.hu/en 

Financed scientific projects

Real-time vulnerability information management and supported risk assessment in critical information infrastructures

part I. - 2021 April-2021 December
part II. - 2022 May-2023 February
part III. - 2023 June-2024 Mach
part IV. - 2024 November-2025 March

Publications

1. Katalin Ferencz, József Domokos, Levente Kovács, Cloud Integration of Industrial IoT -Systems. Architecture, Security Aspects and Sample Implementations, Acta Polytehnica Hungarica, Journal of Applied Sciences, ISSN 1785-8860, Volume 21, Issue Number 4, 2024, IF 1.8 http://acta.uni-obuda.hu/Ferencz_Domokos_Kovacs_144.pdf 

2. Katalin FERENCZ, Ernő RIGÓ, József DOMOKOS, Levente KOVÁCS, Implementation of Network Data Analysis Using the Neo4j Graph Database, Acta Universitatis Sapientiae, Electrica land mechanical engineering, Volume 16, 2024, pp. 162−176, DOI: 47745/auseme-2024-0014
3. Katalin Ferencz, József Domokos, Levente Kovács, Analysis of Industrial Sensor Data Using Statistical and Regression Methods, System Theory, Control and Computing Journal, Vol. 3 No. 1 (2023), pp. 36-44, DOI: https://doi.org/10.52846/stccj.2023.3.1.48, https://stccj.ucv.ro/index.php/stccj/article/view/48/37
4. Ferencz Katalin, József Domokos, IoT Sensor Data Acquisition and Storage System Using Raspberry Pi and Apache Cassandra, Proceedings of the International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering (IEEE CANDO-EPE 2018), pp. 143-146, November 20-21, 2018, Budapest, Hungary.
5. Somai László, Molnár László, Domokos József, Intelligent IoT Shelf Design and Development, Proceedings of the IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, CINTI- MACRo 2019, ISBN 978-1-7281-5625-5, 61-64, November 14-16, 2019, Szeged, Hungary.
6. Ferencz Katalin, Domokos József, Using Node-RED platform in an industrial environment, XXXV. Jubileumi Kandó Konferencia, JKK 2019, pp. 52-63, November 14-15, 2019, Budapest, Hungary.
7. Katalin FERENCZ, József DOMOKOS, Rapid Prototyping of IoT Applications for the Industry, IEEE International Conference on Automation, Quality and Testing, Robotics AQTR 2020, May 21-23, Cluj-Napoca, Romania.
8. Ferencz Katalin, Domokos József, Overview of Industrial IoT services and open source systems, XXXth International Conference on Computer Science, SzámOkt 2020, online, October 10, 2020.
9. Ferencz Katalin, Domokos József, Kovács Levente, Review of Industry 4.0 Security Challenges, 15th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 19-21 May, 2021, Timișoara, Rom
10. Ferencz Katalin, Domokos József, Kovács Levente, A statistical approach to time series sensor data evaluation using Apache Spark modules, 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2022, May 25-28, 2022, Timişoara, Romania.
11. Székely, F. O’Driscoll, et al., “Intelligent edge for sustainable agriculture – Phase II,” in: TM Forum Catalyst C23.0.504, DTW Conf. Copenhagen, Denmark, September 2023, p. 40, whitepaper (with restricted access to TMF members only).
12. Székely, F. O’Driscoll, et al., “AI and 5G for sustainable agriculture – Phase I,” in: TM Forum Catalyst C22.0.297, DTW Conf. Copenhagen, Denmark, September 2022, p. 39, whitepaper (with restricted access to TMF members only).
13. Ferencz Katalin, Molnár László, Domokos József, Ipari szenzoradatok elemzése statisztikai és regressziós módszerekkel, 24th International Conference on Energetics-Electrical Engineering (Enelko), and 33rd International Conference on Computers and Education (SzámOkt), Cluj-Napoca, October 12-15, 2023.
14. FERENCZ Katalin, RIGÓ Ernő, DOMOKOS József, MOLNÁR László, Application of Neo4j graph database for network data analysis, 25th International Conference on Energetics-Electrical Engineering (Enelko), and 34th International Conference on Computers and Education (SzámOkt), Brașov, October 10-13, 2024.
15. Hajdu, G. B. Kis, A. Z. Fekete and D. N. Kutasi, "Identifying and Implementing Common Tactics to Disrupt IoT Device Functionality Over TCP/IP Stacks," 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2024, pp. 87-92, doi: 10.1109/CINTI63048.2024.10830827.
16. Székely, F. O’Driscoll, L. Iheme, D. Kypuros, V. Pang and G. Shmigelsky, "Smart Architecture Framework with 5G private networks and AI for sustainable agriculture," 6th Global Power, Energy and Comm. Conf., Budapest, Hungary, June 2024, pp.730-735, DOI: 10.1109/GPECOM61896.2024.10582768.
17. Székely, “AI and 5G-Enabled Agriculture for Sustainability and Climate Action: A Project Blueprint for the SDGs”, European Seminar on AI for Sustainability and Climate Change, January 15th, 2026, pp.1-19, accepted on 03.10.2025.
18. S. Székely, L.O. Iheme, F. O’Driscoll, D. Kypuros, V. Pang and G. Shmigelsky, “Scalable Architecture and Intelligent Edge with 5G-Advanced, MEC, IoT, UAVs and AI for a Sustainable Agriculture and Food Operations”, NEVU Journal on Engineering and Architecture, Vol. 3, Nr.1, pp.1-15, accepted on 20.01.2025 (to appear soon), preprint available on RG.