Andrii Shalaginov
Andrii Shalaginov
Norwegian Information Security Laboratory, Norwegian University of Science and Technology
Verified email at ntnu.no - Homepage
TitleCited byYear
Machine learning aided static malware analysis: A survey and tutorial
A Shalaginov, S Banin, A Dehghantanha, K Franke
Cyber Threat Intelligence, 7-45, 2018
172018
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
132015
Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness
A Shalaginov, K Franke
Applied Soft Computing 52, 359-375, 2017
122017
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
122016
A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection
A Shalaginov, K Franke
IFSA-EUSFLAT, 2015
122015
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
102015
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
92016
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
92015
Automatic rule-mining for malware detection employing neuro-fuzzy approach
A Shalaginov, K Franke
Norsk informasjonssikkerhetskonferanse (NISK) 2013, 2013
92013
Automated intelligent multinomial classification of malware species using dynamic behavioural analysis
A Shalaginov, K Franke
IEEE Privacy, Security and Trust 2016, 2016
72016
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
72016
Cyber security risk assessment of a DDoS attack
G Wangen, A Shalaginov, C Hallstensen
International Conference on Information Security, 183-202, 2016
62016
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
52016
Memory access patterns for malware detection
S Banin, A Shalaginov, K Franke
NISK, 2016
42016
Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science
A Shalaginov
IEEE Intelligence and Security Informatics 2016, 304-309, 2016
32016
Automatic rule-extraction for malware detection on mobile devices
A Shalaginov
32013
Comparing open source search engine functionality, efficiency and effectiveness with respect to digital forensic search
J Hansen, K Porter, A Shalaginov, K Franke
PKP Publications, 2018
22018
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
22018
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
22017
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
22017
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