| Machine learning aided static malware analysis: A survey and tutorial A Shalaginov, S Banin, A Dehghantanha, K Franke Cyber threat intelligence, 7-45, 2018 | 133 | 2018 |
| Multinomial malware classification via low-level features S Banin, GO Dyrkolbotn Digital Investigation 26, S107-S117, 2018 | 43 | 2018 |
| Memory access patterns for malware detection S Banin, A Shalaginov, K Franke NISK, 2016 | 17 | 2016 |
| Detection of Previously Unseen Malware Using Memory Access Patterns Recorded before the Entry Point S Banin, GO Dyrkolbotn 2020 IEEE International Conference on Big Data (Big Data), 2242-2253, 2020 | 4 | 2020 |
| Correlating High- and Low-Level Features: Increased Understanding of Malware Classification S Banin, GO Dyrkolbotn International Workshop on Security, 149-167, 2019 | 4 | 2019 |
| Detection of Running Malware Before it Becomes Malicious S Banin, GO Dyrkolbotn International Workshop on Security 12231, 57-73, 2020 | 2 | 2020 |
| Fast and Straightforward Feature Selection Method: A Case of High-Dimensional Low Sample Size Dataset in Malware Analysis S Banin Malware Analysis Using Artificial Intelligence and Deep Learning, 455-476, 2021 | 1 | 2021 |
| Malware detection and classification using low-level features S Banin NTNU, 2023 | | 2023 |
Andrii ShalaginovKristiania University College在 kristiania.no 的电子邮件经过验证
Andrii ShalaginovKristiania University College在 kristiania.no 的电子邮件经过验证