1 | Bulavas, Viktoras. Fractal dimensionality of network traffic as a feature for intrusion detection // 11th international workshop on data analysis methods for software systems (DAMSS 2019), Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences. Vilnius : Vilnius University Press, 2019. ISBN 9786090703243. eISBN 9786090703250. p. 16. DOI: 10.15388/Proceedings.2019.8. |
2 | Bulavas, Viktoras. Investigation of network intrusion detection using data visualization methods // 59th International scientific conference on information technology and management science of Riga Technical University (ITMS), October 10-12, 2018, Riga, Latvia : proceedings. Piscataway : NJ : IEEE, 2018, art. no. 8552977. eISBN 9781728100982. p. [1-6]. DOI: 10.1109/ITMS.2018.8552977. |
3 | Bulavas, Viktoras; Dzemyda, Gintautas; Marcinkevičius, Virginijus. An investigation of early cyber threat detection using ensembles of machine learning methods // 9th International workshop on Data Analysis Methods for Software Systems (DAMSS), Druskininkai, Lithuania, November 30 - December 2, 2017. Vilnius : Vilniaus universitetas, 2017. ISBN 9789986680642. p. 9-10. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>. |