VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Arnoldas Budžys' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Arnoldas Budžys', VU Institute of Data Science and Digital Technologies / Institute of Mathematics and Informatics (based on 1. Lithuanian Academic Library Network (LABT) database of Vilnius University Library [since 2011 until now] and 2. LABT database of Wroblewski Library of the Lithuanian Academy of Sciences [until 2010]):
Eil. Nr. Publikacija
1Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Integrating deep learning and data fusion for advanced keystroke dynamics authentication // Computer standards & interfaces. Amsterdam : Elsevier B.V. ISSN 0920-5489. 2025, vol. 92, art. no. 103931, p. 1-14. DOI: 10.1016/j.csi.2024.103931.
2Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Deep learning-based authentication for insider threat detection in critical infrastructure // Artificial intelligence review. Dordrecht : Springer Nature B.V. ISSN 0269-2821. eISSN 1573-7462. 2024, vol. 57, iss. 10, art. no. 272, p. [1-35]. DOI: 10.1007/s10462-024-10893-1.
3Kurasova, Olga; Budžys, Arnoldas; Medvedev, Viktor. Exploring multidimensional embeddings for decision support using advanced visualization techniques // Informatics. Basel : MDPI. eISSN 2227-9709. 2024, vol. 11, iss. 1, art. no. 11, p. [1-17]. DOI: 10.3390/informatics11010011.
4Dautartas, Juozas; Budžys, Arnoldas; Medvedev, Viktor. Obfuscation and evasion techniques for red team assessments // DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30 - December 2, 2023. Vilnius : Vilniaus universiteto leidykla, 2023. eISBN 9786090709856. p. 19-20. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 39). DOI: 10.15388/DAMSS.14.2023.
5Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Insider threat detection: a new keystroke dynamics-based approach to user authentication in critical infrastructure // DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30 - December 2, 2023. Vilnius. Vilnius : Vilniaus universiteto leidykla, 2023. eISBN 9786090709856. p. 16. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 39). DOI: 10.15388/DAMSS.14.2023.
6Medvedev, Viktor; Budžys, Arnoldas; Kurasova, Olga. Enhancing keystroke biometric authentication using deep learning techniques // 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 20-23 June, Aveiro, Portugal, 2023 : proceedings. New York : IEEE, 2023. ISBN 9798350305272. eISBN 9789893347928. ISSN 2166-0727. eISSN 2166-0727. p. [1-6]. DOI: 10.23919/CISTI58278.2023.10211344.
7Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Behavioral biometrics authentication in critical infrastructure using siamese neural networks // HCI for cybersecurity, privacy and trust: 5th international conference, HCI-CPT 2023, held as part of the 25th HCI international conference, HCII 2023. Copenhagen, Denmark, July 23–28, 2023 : proceedings. Cham : Springer, 2023. ISBN 9783031358210. eISBN 9783031358227. p. 309-322. (Lecture notes in computer science, ISSN 0302-9743, eISSN 1611-3349 ; vol. 14045). DOI: 10.1007/978-3-031-35822-7_21.
8Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Intrusion detection based on keystroke biometrics and siamese neural networks // DAMSS: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 202. Vilnius : Vilnius University Press, 2022. ISBN 9786090707944. eISBN 9786090707951. p. 13. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 31). DOI: 10.15388/DAMSS.13.2022.
9Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Deep learning-based prevention of insider threats using user behavioral keystroke biometrics // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 144. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>.
10Budžys, Arnoldas; Medvedev, Viktor; Kurasova, Olga. User behaviour analysis based on similarity measures to detect anomalies // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 8. DOI: 10.15388/DAMSS.12.2021.