PhD student
bkoltai (at) crysys.hu
office: I.E. 429
tel: +36 1 463 2063
Beatrix Koltai was born in 1998 in Budapest. She achieved her MSc degree in 2024 at the Budapest Univeristy of Technology and Economics. She has been involved with the Laboratory of Cryptography and System Security (CrySyS Lab) since 2020. Her general research interests include the applicability of sequential data in security, and attack detection using machine learning methods.
This BProf course gives an overview of the different areas of IT security with the aim of increasing the security awareness of computer science students and shaping their attitude towards designing and using secure computing systems. The course also gives an introduction to source software security and channel coding.
This course introduces security problems in software development: students will learn the most common mistakes in software development and how attackers exploit those mistakes (offensive security). Then, students get to know how to mitigate attacks and write secure applications.
This laboratory extends and deepens the knowledge and skills obtained in the Software Security course by solving practical, hands-on exercises in real, or close-to-real environments.
Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP, 2024.
Bibtex | Abstract | PDF | Link
@inproceedings {
author = {Beatrix Koltai and András Gazdag and Gergely Ács},
title = {Supporting CAN Bus Anomaly Detection With Correlation Data},
booktitle = {Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP},
year = {2024},
howpublished = "\url{https://www.scitepress.org/PublicationsDetail.aspx?ID=Tk17bfTiwAg=}"
}
Hungarian Machine Learning Workshop, 2023.
@conference {
author = {Beatrix Koltai and András Gazdag},
title = {Anomaly detection in CAN with TCN},
publisher = {Hungarian Machine Learning Workshop},
year = {2023}
}
Infocommunications Journal, Vol. XV, No. 4., 2023.
Bibtex | Abstract | PDF | Link
@article {
author = {Beatrix Koltai and András Gazdag and Gergely Ács},
title = {Improving CAN anomaly detection with correlation-based signal clustering},
journal = {Infocommunications Journal, Vol. XV, No. 4.},
year = {2023},
howpublished = "\url{https://www.infocommunications.hu/2023_4_3}"
}