| Machine learning aided static malware analysis: A survey and tutorial A Shalaginov, S Banin, A Dehghantanha, K Franke Cyber Threat Intelligence, 7-45, 2018 | 30 | 2018 |
| A new method for an optimal som size determination in neuro-fuzzy for the digital forensics applications A Shalaginov, K Franke International Work-Conference on Artificial Neural Networks, 549-563, 2015 | 18 | 2015 |
| Understanding Neuro-Fuzzy on a class of multinomial malware detection problems A Shalaginov, LS Grini, K Franke International Joint Conference on Neural Networks (IJCNN) 2016, 684-691, 2016 | 15 | 2016 |
| A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection A Shalaginov, K Franke IFSA-EUSFLAT, 2015 | 14 | 2015 |
| Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness A Shalaginov, K Franke Applied Soft Computing 52, 359-375, 2017 | 13 | 2017 |
| Automatic rule-mining for malware detection employing neuro-fuzzy approach A Shalaginov, K Franke Norsk informasjonssikkerhetskonferanse (NISK) 2013, 2013 | 12 | 2013 |
| Towards improvement of multinomial classification accuracy of Neuro-Fuzzy for Digital Forensics applications A Shalaginov, K Franke 15th International Conference on Hybrid Intelligent Systems (HIS 2015) 420 …, 2015 | 11 | 2015 |
| Intelligent mobile malware detection using permission requests and api calls M Alazab, M Alazab, A Shalaginov, A Mesleh, A Awajan Future Generation Computer Systems 107, 509-521, 2020 | 10 | 2020 |
| Malware Beaconing Detection by Mining Large-scale DNS Logs for Targeted Attack Identification A Shalaginov, K Franke, X Huang 18th International Conference on Computational Intelligence in Security …, 2016 | 10 | 2016 |
| Automated Generation of Fuzzy Rules from Large-scale Network Traffic Analysis in Digital Forensics Investigations A Shalaginov, K Franke 7th International Conference on Soft Computing and Pattern Recognition …, 2015 | 10 | 2015 |
| Automated intelligent multinomial classification of malware species using dynamic behavioural analysis A Shalaginov, K Franke IEEE Privacy, Security and Trust 2016, 2016 | 8 | 2016 |
| Study of Soft Computing methods for large-scale multinomial malware types and families detection LS Grini, A Shalaginov, K Franke The 6th World Conference on Soft Computing, 2016 | 8 | 2016 |
| Cyber security risk assessment of a DDoS attack G Wangen, A Shalaginov, C Hallstensen International Conference on Information Security, 183-202, 2016 | 7 | 2016 |
| Multinomial classification of web attacks using improved fuzzy rules learning by neuro-fuzzy A Shalaginov, K Franke International Journal of Hybrid Intelligent Systems 13 (1), 15-26, 2016 | 7 | 2016 |
| Cyber crime investigations in the era of big data A Shalaginov, JW Johnsen, K Franke 2017 IEEE International Conference on Big Data (Big Data), 3672-3676, 2017 | 6 | 2017 |
| Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science A Shalaginov IEEE Intelligence and Security Informatics 2016, 304-309, 2016 | 5 | 2016 |
| Memory access patterns for malware detection S Banin, A Shalaginov, K Franke NISK, 2016 | 5 | 2016 |
| Advancing Neuro-Fuzzy Algorithm for Automated Classification in Largescale Forensic and Cybercrime Investigations: Adaptive Machine Learning for Big Data Forensic A Shalaginov Norwegian University of Science and Technology, 2018 | 4 | 2018 |
| Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security G Wangen, A Shalaginov The 10th International Conference on Risks and Security of Internet and …, 2015 | 4 | 2015 |
| Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks A Iqbal, A Shalaginov, F Mahmood 2018 IEEE International Conference on Big Data (Big Data), 3088-3093, 2018 | 3 | 2018 |
Katrin FrankeNTNU - Norwegian University of Science and TechnologyVerified email at ntnu.no
