@article{MTMT:35069678,
	title = {Password Usage in Hungary and Slovakia Among Users of Smart Devices},
	url = {https://m2.mtmt.hu/api/publication/35069678},
	author = {Mandić, Dorottya and Kiss, Gábor},
	journal-iso = {BIZTONSÁGTUD SZLE},
	journal = {BIZTONSÁGTUDOMÁNYI SZEMLE},
	volume = {6},
	unique-id = {35069678},
	year = {2024},
	eissn = {2676-9042},
	pages = {57-67},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@inproceedings{MTMT:34890525,
	title = {Password Usage among Users of Smart Devices in Hungary and Serbia},
	url = {https://m2.mtmt.hu/api/publication/34890525},
	author = {Mandić, Dorottya and Kiss, Gábor and Rajnai, Zoltán},
	booktitle = {SACI 2024: 18th IEEE International Symposium on Applied Computational Intelligence and Informatics: Proceedings},
	doi = {10.1109/SACI60582.2024.10619863},
	unique-id = {34890525},
	year = {2024},
	pages = {309-313},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376; Rajnai, Zoltán/0000-0002-9139-736X}
}

@article{MTMT:34863023,
	title = {Early Detection of Alzheimer's Disease Using Artificial Intelligence},
	url = {https://m2.mtmt.hu/api/publication/34863023},
	author = {Kiss, Gábor},
	doi = {10.1016/j.procs.2024.05.131},
	journal-iso = {PROC COMPUTER SCI},
	journal = {PROCEDIA COMPUTER SCIENCE},
	volume = {237},
	unique-id = {34863023},
	issn = {1877-0509},
	year = {2024},
	pages = {485-492},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@article{MTMT:34726956,
	title = {Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving},
	url = {https://m2.mtmt.hu/api/publication/34726956},
	author = {Kiss, Gábor and Bakucz, Peter},
	doi = {10.3390/app14062261},
	journal-iso = {APPL SCI-BASEL},
	journal = {APPLIED SCIENCES-BASEL},
	volume = {14},
	unique-id = {34726956},
	abstract = {In this paper, we outline the analysis of a fully provable traffic system based on the Kolmogorov entropy. The completeness of the traffic node dynamics is realized in the form of a nonlinear dynamical model of the participating transport objects. The goal of this study is to determine the completeness of transport nodes based on the Kolmogorov entropy of the traffic trajectories of a node with an unspecified number of actors, like cars and pedestrians. The completeness of a highly autonomous driving detection system describing a traffic node could be realized if the entropy-based error-doubling time of the trajectories of the Euler–Lagrange equation interpreted at the transport junction is less than 1.3.},
	year = {2024},
	eissn = {2076-3417},
	pages = {2261-2279},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@inproceedings{MTMT:35064820,
	title = {SUPPORTING THE RESEARCH WORK OF AN H2020 CYBERSECURITY PROJECT WITH INNOVATION MANAGEMENT TOOLS AND METHODOLOGY - A CASE STUDY OF THE ECHO PROJECT},
	url = {https://m2.mtmt.hu/api/publication/35064820},
	author = {Kis, Márton and Bódi, Antal and Kiss, Gábor},
	booktitle = {Tenth International Scientific Web-conference of Scientists and PhD students or candidates : Trends and Innovations in E-business, Education, and Security : TIEES 2023},
	unique-id = {35064820},
	year = {2023},
	pages = {96-107},
	orcid-numbers = {Kis, Márton/0000-0002-9842-3436; Bódi, Antal/0000-0002-6199-8025; Kiss, Gábor/0000-0002-0447-9376}
}

@inproceedings{MTMT:34498980,
	title = {Az információbiztonság megjelenése a magyarországi és a csehországi tantervben},
	url = {https://m2.mtmt.hu/api/publication/34498980},
	author = {Pásztor, Bence and Kiss, Gábor},
	booktitle = {30TH ANNIVERSARY CONFERENCE OF THE SAFETY AND SECURITY ENGINEERING EDUCATION},
	unique-id = {34498980},
	year = {2023},
	pages = {98-104},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@inproceedings{MTMT:34498928,
	title = {Az okoseszközök és vírusvédelem használata Magyarországon és Szerbiában},
	url = {https://m2.mtmt.hu/api/publication/34498928},
	author = {Mandić, Dorottya and Kiss, Gábor},
	booktitle = {30TH ANNIVERSARY CONFERENCE OF THE SAFETY AND SECURITY ENGINEERING EDUCATION},
	unique-id = {34498928},
	year = {2023},
	pages = {64-75},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@book{MTMT:34498920,
	title = {30TH ANNIVERSARY CONFERENCE OF THE SAFETY AND SECURITY ENGINEERING EDUCATION. A BIZTONSÁGTECHNIKAI MÉRNÖK KÉPZÉS 30 ÉVI JUBILEUMI KONFERENCIÁJA},
	url = {https://m2.mtmt.hu/api/publication/34498920},
	isbn = {9789634493297},
	editor = {Kiss, Gábor},
	publisher = {Obuda University},
	unique-id = {34498920},
	year = {2023},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@inproceedings{MTMT:34449066,
	title = {Prioritising the features of online educational tools},
	url = {https://m2.mtmt.hu/api/publication/34449066},
	author = {Kiss, Gábor},
	booktitle = {9th International Conference on e-Society, e-Learning and e-Technologies, ICSLT 2023},
	doi = {10.1145/3613944.3613953},
	unique-id = {34449066},
	year = {2023},
	pages = {54},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}

@article{MTMT:34432656,
	title = {Elkerülhetetlen baleseti helyzetek kezelése az önvezető járművek által},
	url = {https://m2.mtmt.hu/api/publication/34432656},
	author = {Kiss, Gábor and Bakucz, Peter},
	doi = {10.47833/2023.2.CSC.023},
	journal-iso = {GRADUS},
	journal = {GRADUS},
	volume = {10},
	unique-id = {34432656},
	abstract = {Az önvezető járművek már több országban éles tesztelési fázisban vannak és hamarosan részeit képezik majd a mindennapi közlekedésnek. A mesterséges intelligencia terén elért új kutatási eredmények teszik lehetővé ennek megvalósulását. Az egyik nagy kérdése teljesen önvezető járművek bevezethetőségének a társadalmi elfogadottságukkal kapcsolatos. Cikkünkben az elkerülhetetlen baleseti szituációk kezelését vizsgáljuk, így igyekezve az önvezetés társadalmi elfogadottságát növelni. Rámutatunk, hogyan szükséges döntenie a mesterséges intelligenciának egy elkerülhetetlen baleset esetén, mely jármű utasait és milyen mértékben teszi ki a balesettel járó sérüléseknek.
		
		Self-driving vehicles are already in the testing phase in several countries and will soon be part of everyday transport. New research advances in artificial intelligence are making this possible. One of the big issues for the introduction of fully self-driving vehicles is their social acceptance. In this article, we look at the handling of unavoidable accident situations in an attempt to increase the social acceptance of self-driving. We show how, in the event of an unavoidable accident, AI is required to decide which vehicle occupants and to what extent they are exposed to accident-related injuries.},
	year = {2023},
	eissn = {2064-8014},
	orcid-numbers = {Kiss, Gábor/0000-0002-0447-9376}
}