Sergii Banin

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:
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.

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