Andrii Shalaginov

Postdoctoral Researcher

Department of Information Security and Communication Technology Faculty of Information Technology and Electrical Engineering

andrii.shalaginov@ntnu.no +47 61135375

Ametyst-bygget, A121, Gjøvik

Dr. Andrii Shalaginov is working as a Postdoctoral Researcher in Digital Forensics at the Department of Information Security and Communication Technology (IIK), he is a member of NTNU Digital Forensics group and NTNU Malware Lab. Andrii's expertise lies in developement of new method to protect against cybersecurity threats using advanced data analytics. The main aspect is intelligent processing of data pieces that further can be used for building AI models to defend intrustructure as well as preserving digital evidences.

Current Research Interensts

Malware Anlaysis
Digital Forensics
Big Data Analytics
Machine Learning
Internet of Things

Backgroud

Andrii obtained his PhD in Information Securtiy in 2018 from NTNU. This research project included developement and proof-of-concept demonstration of advanced Neuro-Fuzzy method for Big Data problems in Digital Forensics applications. One of the contributions received aware from AI Journal. By today, Andrii holds his MSc degree in Information Security (Digital Forensics track) from Gjøvik University College (Norway), MSc in System Design from Kyiv Polytechnic Institute (Ukraine) and BSc in Information Technology from Kyiv Polytechnic Institute (Ukraine). Moreover, Andrii experienced in system architecture and software engineering. In 2010-2011 he worked with Samsung R&D Center on Human-Computer Interaction Porjects on embedded devices for Android platform.

Project Work

Digital forensics: evidence analysis via intelligent systems and practices, COST Action CA17124, nominated representative from Norway, WP7 ECR Vice-Leader, 2018-current
ArsForensica, NTNU; WP2 demonstrator, 2015-current
Malware on copyright infinding websites, UNICRI/EUIPO; security consultant, 2017.
SuPLight, NTNU; WP3 editor, WP6 software developer and demonstrator, 2011-2014.
Large-Scale Multinomial Malware Classification, NTNU, Project Leader, 2015-current.
Hansken, NTNU, system architect, 2016-current

Teaching

IMT4133 - Data Science for Security and Forensics

Selected Invited Talks

Future Smart Cities Policing: Opportunities and Challenges, Interpol, Singapore, 2018.
Malware on selected suspected copyright infringing websites, European Union Agency for Law Enforcement Training (CEPOL), 2017.
Machine Learning-Aided Malware Analysis, NorCERT Security Forum - NTNU Malware Forum, 2017.

Other activities

Member of "Impact of Technology Expert Group", Observatory Expert Groups, European Union Intellectual Property Office, 2019.
Andrii is part of NTNU team that won 1st place at Interpol Thinkathon on Future Policing in Smart Cities (PolitiForum) (2018)
Chair of "International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention" 2017, 2018
Co-chair of "NTNU Malware Forum" (2017-current)
COINS steering comittee member and student representative (2015-2017)
Member of Machine Intelligence Research Labs (MIR Labs) (2018-current)
Member of International Neural Network Society (INNS) (2017-current)
Member of Institute of Electrical and Electronics Engineers (IEEE) (2018-current).

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications

Hansen, Joachim; Porter, Kyle; Shalaginov, Andrii; Franke, Katrin. (2018) Comparing Open Source Search Engine Functionality, Efficiency and Effectiveness with Respect to Digital Forensic Search. Norsk Informasjonssikkerhetskonferanse (NISK). vol. 11.
Shalaginov, Andrii. (2017) Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability. IJCAI International Joint Conference on Artificial Intelligence.
Shalaginov, Andrii; Franke, Katrin. (2017) Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing. vol. 52.
Andersen, Lars Christian; Franke, Katrin; Shalaginov, Andrii. (2016) Data-driven Approach to Information Sharing using Data Fusion and Machine Learning for Intrusion Detection. Norsk Informasjonssikkerhetskonferanse (NISK). vol. 2016.
Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK). vol. 2016.
Shalaginov, Andrii; Franke, Katrin. (2016) Intelligent generation of fuzzy rules for network firewalls based on the analysis of large-scale network traffic dumps. International Journal of Hybrid Intelligent Systems. vol. 13 (3-4).
Shalaginov, Andrii; Franke, Katrin. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems. vol. 13 (1).
Shalaginov, Andrii; Franke, Katrin; Huang, Xiongwei. (2016) Malware Beaconing Detection by Mining Large-scale DNS Logs for Targeted Attack Identification. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering. vol. 10 (4).
Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V. (2016) Cyber security risk assessment of a DDoS attack. Lecture Notes in Computer Science. vol. 9866.

Books

Shalaginov, Andrii; Franke, Katrin; Johnsen, Jan William. (2017) IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE. 2017. ISBN 978-1-5386-2715-0.

Part of book/report

Gunleifsen, Håkon; Gkioulos, Vasileios; Wangen, Gaute; Shalaginov, Andrii; Kianpour, Mazaher; Abomhara, Mohamed Ali Saleh. (2019) Cybersecurity Awareness and Culture in Rural Norway. Thirteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2019).
Iqbal, Asif; Mahmood, Farhan; Shalaginov, Andrii; Ekstedt, Mathias. (2018) Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems. 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018.
Iqbal, Asif; Shalaginov, Andrii; Mahmood, Farhan. (2018) Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks. 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018.
Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. (2018) Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. Cyber Threat Intelligence.
Shalaginov, Andrii. (2017) Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. 2017 20th International Conference on Information Fusion.
Shalaginov, Andrii. (2017) Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 2017 International Joint Conference on Neural Networks (IJCNN).
Shalaginov, Andrii; Franke, Katrin. (2017) A Deep Neuro-Fuzzy method for multi-label malware classification and fuzzy rules extraction. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings.
Shalaginov, Andrii; Johnsen, Jan William; Franke, Katrin. (2017) Cyber Crime Investigations in the Era of Big Data. IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017.
Shalaginov, Andrii. (2016) Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science. IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data.
Shalaginov, Andrii; Grini, Lars Strande; Franke, Katrin. (2016) Understanding Neuro-Fuzzy on a Class of Multinomial Malware Detection Problems. IEEE International Joint Conference on Neural Networks (IJCNN).