Sergii Banin

1

Sergii Banin

Ph.D. started in: 2016
Expected year of graduation: 2019
COINS consortium member: Norwegian University of Science and Technology
Supervised by: Geir Olav Dyrkolbotn
Links: Cristin
Research area: Digital Forensics
Project title: Advanced Machine Learning Techniques in Malware Analysis Applications
Project description: This research is held at NTNU i Gjovik and aimed on improving and developing new methods and techniques of malware analysis. Especially it will be based on my Master Thesis where I described a novel malware detection methodology with a use of sequences of memory access operations.

Publications:

  1. Sergii Banin, Geir Olav Dyrkolbotn (2019). Correlating High- and Low-Level Features: Increased Understanding of Malware Classification
  2. Sergii Banin, Geir Olav Dyrkolbotn (2018). Multinomial malware classification via low-level features
  3. Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke (2018). Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
  4. Sergii Banin, Andrii Shalaginov, Katrin Franke (2016). Memory access patterns for malware detection
Courses attended:
  1. IMT6002 COINS Winter School (NTNU), 3 ECTS, 2017
  2. IMT6004 COINS Workshop (NTNU), 1 ECTS, 2016
Events attended with COINS funding:
  1. COINS Ph.D student seminar, Longyearbyen, Svalbard, Norway, 2018
  2. NISK 2018, Longyearbyen, Svalbard, Norway, 2018
  3. COINS Finse winter school, Finse, Norway, 2017
  4. COINS/SWITS Ph.D. student seminar, Oslo, Norway, 2017
  5. ESORICS 2017, Oslo, Norway, 2017
  6. COINS Ph.D. student seminar, Bergen, Norway, 2016
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