@{MTMT:36899228, title = {A Vasúti jelzőrendszerek energiaellátásának kiberbiztonsági kockázatelemzése}, url = {https://m2.mtmt.hu/api/publication/36899228}, author = {Dér, Attila and Ady, László and Rajnai, Zoltán and Schuster, György}, booktitle = {XLI. Kandó Konferencia}, unique-id = {36899228}, year = {2026}, pages = {637-638}, orcid-numbers = {Ady, László/0000-0001-6702-6000; Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:36924736, title = {Securing AI-based healthcare systems using Blockchain Technology and applying defense in depth}, url = {https://m2.mtmt.hu/api/publication/36924736}, author = {Zeqo, Eris and Qose, Silvana and Rajnai, Zoltán and Orosz, Edina}, booktitle = {IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI 2026)}, unique-id = {36924736}, year = {2026}, pages = {257-262}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:36928197, title = {The Barriers to Agriculture 4.0 Adoption in Hungary}, url = {https://m2.mtmt.hu/api/publication/36928197}, author = {WU, YUE and Nagy, Attila and Rajnai, Zoltán and Fregan, Beatrix and Takácsné György, Katalin and Takács, István József}, booktitle = {IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI 2026)}, unique-id = {36928197}, year = {2026}, pages = {467-472}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X} } @article{MTMT:35659997, title = {Optimizing Production Processes through 5G-Enabled Job Shop Scheduling: A Case Study}, url = {https://m2.mtmt.hu/api/publication/35659997}, author = {Fatmir, Azemi and Roberto, Lujić and Goran, Šimunović and Fitim, Zeqiri and Rajnai, Zoltán and Altaleb, Haya and Ady, László and Tokody, Dániel}, doi = {10.12700/APH.22.2.2025.2.5}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, volume = {22}, unique-id = {35659997}, issn = {1785-8860}, year = {2025}, eissn = {1785-8860}, pages = {75-97}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X; Altaleb, Haya/0000-0002-1442-4037; Ady, László/0000-0001-6702-6000; Tokody, Dániel/0000-0002-9984-0434} } @article{MTMT:35660006, title = {ACSRA ICS: Automated Cyber Security Risk Assessment Methodology for Industrial Control Systems}, url = {https://m2.mtmt.hu/api/publication/35660006}, author = {Altaleb, Haya and Ady, László and Varga, Péter János and Rajnai, Zoltán}, doi = {10.12700/APH.22.2.2025.2.4}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, volume = {22}, unique-id = {35660006}, issn = {1785-8860}, year = {2025}, eissn = {1785-8860}, pages = {47-74}, orcid-numbers = {Altaleb, Haya/0000-0002-1442-4037; Ady, László/0000-0001-6702-6000; Varga, Péter János/0000-0002-4964-7249; Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:35701194, title = {Energiaellátás kibervédelmi kérdései repülőtereken}, url = {https://m2.mtmt.hu/api/publication/35701194}, author = {Dér, Attila and Ady, László and Rajnai, Zoltán and Schuster, György}, booktitle = {XL. Kandó Konferencia Kiadvány}, unique-id = {35701194}, year = {2025}, pages = {51-59}, orcid-numbers = {Ady, László/0000-0001-6702-6000; Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:35707720, title = {Glance at Quantum Innovations in Crop Pest and Disease Detection: Bridging Physics and Agriculture}, url = {https://m2.mtmt.hu/api/publication/35707720}, author = {Nagy, Attila and WU, YUE and Takácsné György, Katalin and Rajnai, Zoltán and Fregan, Beatrix}, booktitle = {IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025}, doi = {10.1109/SAMI63904.2025.10883296}, unique-id = {35707720}, abstract = {Agriculture faces increasing risks in ensuring global food security, with challenges such as climate change, biodiversity loss, and plant disease and pest outbreaks posing significant threats to crop yields. These factors are compounded by growing global populations, resource limitations, and market fluctuations. Traditional methods for crop pest and disease monitoring, often reliant on manual surveys and basic machine learning models, are inadequate in addressing these challenges due to limited scalability and accuracy. This research explores the potential application of quantum machine learning (QML) for crop pest and disease monitoring, leveraging the advanced computational capabilities of quantum computers to improve detection accuracy, efficiency, and scalability. The study reviews existing monitoring systems, recent advancements in quantum computing technologies, and the integration of QML algorithms, which offer promising solutions for handling large, complex agricultural datasets. While the practical application of QML in agriculture is still in its early stages, its theoretical advantages indicate significant potential for future smart agricultural systems.}, keywords = {machine learning; remote sensing; Food security; quantum machine learning; Agriculture; Crop disease and pest}, year = {2025}, pages = {289-292}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:35859657, title = {Security Testing of Integrated Web Systems in the Process of Education of Software Engineers}, url = {https://m2.mtmt.hu/api/publication/35859657}, author = {Covics, Zlatko and Rajnai, Zoltán}, booktitle = {The Impact of the Energy Dependency on Critical Infrastructure Protection}, doi = {10.1007/978-3-031-78544-3_19}, unique-id = {35859657}, year = {2025}, pages = {249-260}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X} } @inproceedings{MTMT:36012897, title = {5G Infrastructure Standardization, Integration, Industry 4.0 Applications in EU Precisely Germany, and the Future of Industry 5.0 and 6G: A Comprehensive Overview}, url = {https://m2.mtmt.hu/api/publication/36012897}, author = {Altaleb, Haya and Rajnai, Zoltán}, booktitle = {The Impact of the Energy Dependency on Critical Infrastructure Protection}, doi = {10.1007/978-3-031-78544-3_7}, unique-id = {36012897}, year = {2025}, pages = {87-102}, orcid-numbers = {Altaleb, Haya/0000-0002-1442-4037; Rajnai, Zoltán/0000-0002-9139-736X} } @article{MTMT:36056080, title = {Social engineering az objektum-védelemben: a biztonsági személyzet befolyásolhatóságának vizsgálata}, url = {https://m2.mtmt.hu/api/publication/36056080}, author = {Rajnai, Zoltán and Berek, Lajos and Márton, Zoltán}, doi = {10.12700/btsz.2025.7.1.95}, journal-iso = {BIZTONSÁGTUD SZLE}, journal = {BIZTONSÁGTUDOMÁNYI SZEMLE}, volume = {7}, unique-id = {36056080}, abstract = {A tanulmány a social engineering támadások és a pszichológiai manipuláció szerepét vizsgálja az objektumvédelemben, kiemelten a biztonsági személyzet befolyásolhatóságát. A támadók a humán tényezőt célozzák, kihasználva kognitív torzításokat és döntéshozatali hibákat. A kutatás elemzi a pretexting, tailgating, phishing, tekintélyelvű manipuláció és stressz indukció hatékonyságát. Esettanulmányok igazolják, hogy a képzés, technológiai védelem és szervezeti protokollok kombinációja csökkenti a manipuláció kockázatát. A jövőbeni fenyegetések közé tartoznak az AI-alapú támadások, deepfake és automatizált social engineering technikák.}, year = {2025}, eissn = {2676-9042}, pages = {95}, orcid-numbers = {Rajnai, Zoltán/0000-0002-9139-736X; Berek, Lajos/0000-0003-1705-1173; Márton, Zoltán/0009-0006-7795-076X} }