Ing.

Ivana Burgetová

Ph.D.

odborný asistent

+420 54114 1317
burgetova@fit.vut.cz
C231 Kancelář
9149/osobní číslo VUT

Publikace

  • 2024

    MATOUŠEK, P.; RYŠAVÝ, O.; BURGETOVÁ, I. Experience Report: Using JA4+ Fingerprints for Malware Detection in Encrypted Traffic. 2024. p. 0-0. Detail

  • 2023

    JEŘÁBEK, K.; HYNEK, K.; RYŠAVÝ, O.; BURGETOVÁ, I. DNS over HTTPS Detection Using Standard Flow Telemetry. IEEE Access, 2023, vol. 2023, no. 11, p. 50000-50012. ISSN: 2169-3536. Detail

    JEŘÁBEK, K.; RYŠAVÝ, O.; BURGETOVÁ, I. Analysis of Well-Known DNS over HTTPS Resolvers. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). Las Vegas: 2023. p. 516-524. ISBN: 979-8-3503-3286-5. Detail

  • 2022

    JEŘÁBEK, K.; RYŠAVÝ, O.; BURGETOVÁ, I. Measurement and characterization of DNS over HTTPS traffic. 2022, vol. 2022, no. 2204, p. 1-27. ISSN: 2331-8422. Detail

  • 2021

    BURGETOVÁ, I.; MATOUŠEK, P.; MUTUA, N. Statistical Methods for Anomaly Detection in Industrial Communication. IT-TR-2021-01, Brno: Faculty of Information Technology BUT, 2021. p. 0-0. Detail

    BURGETOVÁ, I.; MATOUŠEK, P.; RYŠAVÝ, O. Anomaly Detection of ICS Communication Using Statistical Models. In Proceedings of the 17th International Conference on Network Service Management (CNSM 2021). Izmir: Institute of Electrical and Electronics Engineers, 2021. p. 166-172. ISBN: 978-3-903176-36-2. Detail

    MATOUŠEK, P.; BURGETOVÁ, I.; RYŠAVÝ, O.; VICTOR, M. On Reliability of JA3 Hashes for Fingerprinting Mobile Applications. In Digital Forensics and Cyber Crime. ICDF2C 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Boston: Springer International Publishing, 2021. p. 1-22. ISBN: 978-3-030-68733-5. Detail

  • 2020

    MATOUŠEK, P.; BURGETOVÁ, I.; VICTOR, M. Mobile Device Fingerprinting. FIT-TR-2020-05, Brno: 2020. p. 0-0. Detail

  • 2019

    MATOUŠEK, P.; RYŠAVÝ, O.; BURGETOVÁ, I. Extending Networking Curriculum with Applied Artificial Intelligence. In Proceedings of EAEEIE 2019. Ruse: Institute of Electrical and Electronics Engineers, 2019. p. 11-16. ISBN: 978-1-7281-3222-8. Detail

  • 2011

    BURGET, R.; BURGETOVÁ, I. Automatic annotation of online articles based on visual feature classification. International Journal of Intelligent Information and Database System, 2011, vol. 5, no. 4, p. 338-360. ISSN: 1751-5858. Detail

    LEXA, M.; MARTÍNEK, T.; BURGETOVÁ, I.; KOPEČEK, D.; BRÁZDOVÁ, M. A dynamic programming algorithm for identification of triplex-forming sequences. BIOINFORMATICS, 2011, vol. 27, no. 18, p. 2510-2517. ISSN: 1367-4803. Detail

  • 2010

    BURGETOVÁ, I.; ZENDULKA, J.; LEXA, M. Clustering Techniques for Protein Fragments Analysis. Brno: Faculty of Information Technology BUT, 2010. 102 p. ISBN: 978-80-214-4207-8. Detail

    BURGETOVÁ, I.; ZENDULKA, J.; LEXA, M. Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments. In Information Technology in Bio- and Medical Informatics, ITBAM 2010. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2010. p. 94-101. ISBN: 978-3-642-15019-7. Detail

  • 2009

    BURGET, R.; BURGETOVÁ, I. Web Page Element Classification Based on Visual Features. 1st Asian Conference on Intelligent Information and Database Systems ACIIDS 2009. Dong Hoi: IEEE Computer Society, 2009. p. 67-72. ISBN: 978-0-7695-3580-7. Detail

    BURGETOVÁ, I. Combined Density- and Grid- Based Method for Clustering of Protein Substructures. ZNALOSTI 2009, Proceedings of the 8th annual conference. Brno: Vydavateľstvo STU, 2009. p. 201-212. ISBN: 978-80-227-3015-0. Detail

    CHMELAŘ, P.; BURGETOVÁ, I. Shlukování založené na Voronoiově dláždění pro klasifikaci a vyhledávání ve videu. ZNALOSTI 2008, Proceedings of the 8th annual conference. Brno: Vydavateľstvo STU, 2009. s. 71-82. ISBN: 978-80-227-3015-0. Detail

    CHMELAŘ, P.; BURGETOVÁ, I.; STRYKA, L. Clustering and Partitioning Methods: Applications, Problems and the Future. Czech and Slovak workshop on Relational Data Mining: RDM 2009. Abaújszántó, Hungary: University of Pavol Jozef Šafárik, 2009. p. 1 (1 s.). Detail

    CHMELAŘ, P.; BURGETOVÁ, I.; ZENDULKA, J. Clustering for Video Retrieval. Data Warehousing and Knowledge Discovery. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2009. p. 390-401. ISBN: 978-3-642-03729-0. Detail

  • 2006

    BURGETOVÁ, I.; ZENDULKA, J. Clustering of Protein Sequences. In Proceedings of 1st International Workshop WFM'06. Přerov: 2006. p. 71-78. ISBN: 80-86840-20-4. Detail

  • 2005

    RUDOLFOVÁ, I. The Algorithm for Reducing the Number of the Nonterminal Symbols in FEOL Systems. In Proceedings of the 11th Conference and Competition STUDENT EEICT 2005, Volume 3. Brno: Faculty of Electrical Engineering and Communication BUT, 2005. p. 581-585. ISBN: 80-214-2890-2. Detail

  • 2004

    RUDOLFOVÁ, I. Algoritmus pro redukci počtu nonterminálních symbolů ve FEOL systémech. In Proceedings of 10th Conference and Competition Student EEICT 2004, Volume 1. Brno: Fakulta elektrotechniky a komunikačních technologií VUT v Brně, 2004. s. 221-223. ISBN: 80-214-2634-9. Detail

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