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Viktoras Bulavas

Department: Cognitive Computing Group 
Position: PhD student
Field: Informatics

Address: Saulėtekio al. 9, ITTC (JK2), room 207, Vilnius
Phone: (+370 5) 236 6202
E-mail:  

 

Viktoras Bulavas on ResearchGate

 

Doctoral studies

Theme Applying Machine Learning Methods for Early Detection of Cyber Security Incidents

Supervisor Prof. Habil. Dr. Gintautas Dzemyda

Consultant Prof. Dr. Virginijus Marcinkevičius

Study time 2017 10 01–2024 09 30 (2021 08 01–2024 07 31 on academic holidays)

Presentations at scientific conferences

14th International Conference on Human System Interaction HSI 2021,  Gdansk University of Technology, 08-10 July 2021  (presentation, article in IEEE Xplore databaseImproving machine learning model performance on detection of network infiltration, IEEE Xplore, DOI: 10.1109/HSI52170.2021.9538669)

Doctoral Conference of Informatics, March 26, 2021, Vilnius "Applying Machine Learning Methods for Early Detection of Cyber Security Incidents" (Slides)

Annual Doctoral Conference of Informatics, October 22, 2020, Vilnius "Applying Machine Learning Methods for Early Detection of Cyber Security Incidents" (Slides)

11th International Workshop on Data Analysis Methods for Software Systems (DAMSS-2017), November 28 - 30, 2019, Druskininkai, Lithuania: „Fractal dimensionality of network traffic as a feature for intrusion detection“ (Poster)

Annual Doctoral Conference of Informatics, October 30, 2019, Vilnius "Applying Machine Learning Methods for Early Detection of Cyber Security Incidents" ( Slides)

Annual Doctoral Conference of Informatics, October 24, 2018, Vilnius "Applying Machine Learning Methods for Early Detection of Cyber Security Incidents" (Slides)

59th International Scientific Conference on Information Technology and Management Science, (ITMS 2018), Riga Technical University, October 12, 2018, Riga, Latvija "Investigation of Network Intrusion Detection Using Data Visualization Methods" (article in IEEE Xplore database Doi 10.1109/ITMS.2018.8552977, Slides)

9th International Workshop on Data Analysis Methods for Software Systems (DAMSS-2017), November 30- December 2, 2017, Druskininkai „An investigation of Early Cyber Threat Detection using Ensembles of Machine Learning Methods“ (Poster)

Education and Qualifications

Education: 

  • 1991 Physics, Lecturer, Vilnius University, MSc
  • 1997 Public Administration, BI Norwegian School of Management, MSc

Certificates:

  • 2019 ECPC-B DPO Professional, European Centre on Privacy and Cybersecurity (ECPC)
  • 2011 Certified Scrum Master (CSM), Scrum Alliance
  • 2011 Certified in Risk and Information Systems Control (CRISC), ISACA
  • 2009 Certified in the Governance of Enterprise IT (CGEIT), ISACA
  • 2006 Certified Information Systems Auditor (CISA), ISACA

Doctoral Summer Schools:

Interests

  • Information Security
  • Cybersecurity
  • Machine Learning
  • Information Systems Audit
  • IT Project Management
  • Science and Emerging Technology Project Management