Andrii Shalaginov
Andrii Shalaginov
Norwegian Information Security Laboratory, Norwegian University of Science and Technology
Verified email at - Homepage
TitleCited byYear
A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection
A Shalaginov, K Franke
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
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
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
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
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
Automatic rule-mining for malware detection employing neuro-fuzzy approach
A Shalaginov, K Franke
Norsk informasjonssikkerhetskonferanse (NISK) 2013, 2013
Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness
A Shalaginov, K Franke
Applied Soft Computing 52, 359-375, 2017
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
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
Machine learning aided static malware analysis: A survey and tutorial
A Shalaginov, S Banin, A Dehghantanha, K Franke
Cyber Threat Intelligence, 7-45, 2018
Cyber security risk assessment of a ddos attack
G Wangen, A Shalaginov, C Hallstensen
International Conference on Information Security, 183-202, 2016
Automated intelligent multinomial classification of malware species using dynamic behavioural analysis
A Shalaginov, K Franke
IEEE Privacy, Security and Trust 2016, 2016
Automatic rule-extraction for malware detection on mobile devices
A Shalaginov
Применение методов линейного предсказания и экстраполяции в контекстно - зависимых приложения
ШАВ Киселева А.Г., Киселев Г.Д.
Материалы одиннадцатой международной конференции (ИАИ - 2011)., 269 - 276, 2011
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control
A Shalaginov
2017 International Joint Conference on Neural Networks (IJCNN), 823-830, 2017
Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science
A Shalaginov
IEEE Intelligence and Security Informatics 2016, 304-309, 2016
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
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
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
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