Bakgrunn og aktiviteter

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

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).

Vitenskapelig, faglig og kunstnerisk arbeid

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Tidsskriftspublikasjoner

Bøker

Del av bok/rapport

  • 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).
  • Shalaginov, Andrii; Semeniuta, Oleksandr; Alazab, Mamoun. (2019) MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion.
  • 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.