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Språkvelger

Norsk

Andrii Shalaginov

Andrii Shalaginov

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

andrii.shalaginov@ntnu.no
+4761135375 Ametyst-bygget, A121, Gjøvik
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About Publications Teaching Media

About

Dr. Andrii Shalaginov is working as an Associate Professor (part-time) at the Department of Information Security and Communication Technology (IIK), he is a member of the NTNU Digital Forensics group and the NTNU Malware Lab. Andrii's expertise lies in the development of new methods to protect against cybersecurity threats using advanced data analytics. The main aspect is the intelligent processing of data pieces that further can be used for building AI models to defend infrastructure as well as preserving digital pieces of evidence.

Current Research Interensts

  • Malware Analysis
  • Digital Forensics
  • Big Data Analytics
  • Machine Learning
  • Internet of Things

Background

Andrii obtained his PhD in Information Security in 2018 from NTNU. This research project included the development and proof-of-concept demonstration of the 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 is experienced in system architecture and software engineering. In 2010-2011 he worked with Samsung R&D Center on Human-Computer Interaction Projects on embedded devices for the Android platform.

Project Work

  • Digital forensics: evidence analysis via intelligent systems and practices, COST Action CA17124, a nominated representative from Norway, WP7 ECR Vice-Leader, 2018-current
  • ArsForensica, NTNU; WP2 demonstrator, 2015-current
  • Malware on copyright-infringing 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

Course responsible / Teaching

  • IMT4133 - Data Science for Security and Forensics (course responsible)
  • IMT4114 - Introduction to Digital Forensics (course responsible)

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 the 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 committee 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).

Competencies

  • Big Data
  • Computer technology
  • Digital etterforskning
  • Information security
  • Internet of Things
  • Machine learning
  • Malware

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2022

  • Bouzidi, Mohammed; Gupta, Nishu; Alaya Cheikh, Faouzi; Shalaginov, Andrii; Derawi, Mohammad. (2022) A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey. IEEE Access. volum 10.
    Academic article
  • Cvitić, Ivan; Peraković, Dragan; Periša, Marko; Jevremović, Aleksandar; Shalaginov, Andrii. (2022) An Overview of Smart Home IoT Trends and related Cybersecurity Challenges. Mobile Networks and Applications.
    Academic article

2021

  • Awuson-David, Kenny; Al-Hadhrami, Tawfik; Alazab, Mamoun; Shah, Nazaraf; Shalaginov, Andrii. (2021) BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem. Future generations computer systems. volum 122.
    Academic article
  • Guo, Zhiwei; Tang, Lianggui; Guo, Tan; Yu, Keping; Alazab, Mamoun; Shalaginov, Andrii. (2021) Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace. Future generations computer systems. volum 117.
    Academic article
  • Jensen, Øyvind; Shalaginov, Andrii; Dyrkolbotn, Geir Olav. (2021) Study of Blacklisted Malicious Domains from a Microsoft Windows End-user Perspective: Is It Safe Behind the Wall?. Norsk Informasjonssikkerhetskonferanse (NISK).
    Academic article
  • Shalaginov, Andrii; Azad, Muhammad Ajmal. (2021) Securing resource-constrained iot nodes: Towards intelligent microcontroller-based attack detection in distributed smart applications. Future Internet. volum 13 (11).
    Academic article
  • Shalaginov, Andrii; Dyrkolbotn, Geir Olav; Alazab, Mamoun. (2021) Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs. Malware Analysis Using Artificial Intelligence and Deep Learning.
    Academic chapter/article
  • Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Securing Smart Future: Cyber Threats and Intelligent Means to Respond. 2021 IEEE International Conference on Big Data.
    Academic chapter/article
  • Shalaginov, Andrii; Stamp, Mark; Alazab, Mamoun. (2021) Malware Analysis Using Artificial Intelligence and Deep Learning. Springer. 2021. ISBN 978-3-030-62581-8.
    Scientific anthology
  • Shalaginov, Andrii; Øverlier, Lasse. (2021) A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks. Malware Analysis Using Artificial Intelligence and Deep Learning.
    Academic chapter/article

2020

  • Alazab, Moutaz; Alazab, Mamoun; Shalaginov, Andrii; Mesleh, Abdelwadood; Awajan, Albara. (2020) Intelligent mobile malware detection using permission requests and API calls. Future generations computer systems. volum 107.
    Academic article
  • Azad, Muhammad Ajmal; Bag, Samiran; Feng, Hao; Shalaginov, Andrii. (2020) Decentralized Self-Enforcing Trust Management System for Social Internet of Things. IEEE Internet of Things Journal. volum 7 (4).
    Academic article
  • Kumar, Ajit; Agarwal, Vinti; Kumar Shandilya, Shishir; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2020) PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting. Future Internet. volum 12 (4).
    Academic article
  • Michailidou, Christina; Gkioulos, Vasileios; Shalaginov, Andrii; Rizos, Athanasios; Saracino, Andrea. (2020) RESPOnSE—A Framework for Enforcing Risk-Aware Security Policies in Constrained Dynamic Environments. Sensors. volum 20 (10).
    Academic article
  • Shalaginov, Andrii; Iqbal, Asif; Olegård, Johannes. (2020) IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. Edge Computing – EDGE 2020.
    Academic chapter/article
  • Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel. (2020) Smart Policing for a Smart World Opportunities, Challenges and Way Forward. Advances in Intelligent Systems and Computing.
    Academic article

2019

  • Faiz, Mohamed Falah; Arshad, Junaid; Alazab, Mamoun; Shalaginov, Andrii. (2019) Predicting likelihood of legitimate data loss in email DLP. Future generations computer systems.
    Academic article
  • 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).
    Academic chapter/article
  • Kumar, Ajit; Agarwal, Vinti; Shandilya, Shishir K.; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2019) PACE: Platform for Android Malware Classification and Performance Evaluation. 2019 IEEE International Conference on Big Data (Big Data).
    Academic chapter/article
  • 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.
    Academic chapter/article

2018

  • 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). volum 11.
    Academic article
  • 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.
    Academic chapter/article
  • 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.
    Academic chapter/article
  • Shalaginov, Andrii. (2018) Advancing Neuro-Fuzzy Algorithm for Automated Classification in Large-scale Forensic and Cybercrime Investigations: Adaptive Machine Learning for Big Data Forensic. Norges teknisk-naturvitenskapelige universitet. 2018. ISBN 978-82-326-2906-0. Doktoravhandlinger ved NTNU (57).
    PhD thesis
  • Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. (2018) Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. Cyber Threat Intelligence.
    Academic chapter/article

2017

  • Shalaginov, Andrii. (2017) Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. 2017 20th International Conference on Information Fusion.
    Academic chapter/article
  • Shalaginov, Andrii. (2017) Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 2017 International Joint Conference on Neural Networks (IJCNN).
    Academic chapter/article
  • Shalaginov, Andrii. (2017) Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability. IJCAI International Joint Conference on Artificial Intelligence.
    Academic article
  • 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.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2017) Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing. volum 52.
    Academic article
  • 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.
    Scientific anthology
  • 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.
    Academic chapter/article

2016

  • 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). volum 2016.
    Academic article
  • Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK). volum 2016.
    Academic article
  • 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.
    Academic chapter/article
  • 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. volum 13 (3-4).
    Academic article
  • Shalaginov, Andrii; Franke, Katrin. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems. volum 13 (1).
    Academic article
  • 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. volum 10 (4).
    Academic article
  • 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).
    Academic chapter/article
  • Wangen, Gaute; Shalaginov, Andrii. (2016) Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. Risks and Security of Internet and Systems: 10th International Conference, CRiSIS 2015, Mytilene, Lesbos Island, Greece, July 20-22, 2015, Revised Selected Papers.
    Academic chapter/article
  • Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V. (2016) Cyber security risk assessment of a DDoS attack. Lecture Notes in Computer Science (LNCS). volum 9866.
    Academic article

2015

  • Shalaginov, Andrii; Franke, Katrin. (2015) A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. Advances in Computational Intelligence; 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Eusflat-15.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations. 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015).
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. Hybrid Intelligent Systems - proceedings of 15th International Conference HIS 2015 on Hybrid Intelligent Systems.
    Academic chapter/article

2013

  • Shalaginov, Andrii; Franke, Katrin. (2013) Automatic rule-mining for malware detection employing Neuro-Fuzzy Approach. Proceeding of Norwegian Information Security Conference / Norsk informasjonssikkerhetskonferanse - NISK 2013 - Stavanger, 18th-20th November 2013.
    Academic chapter/article

Scientific articles

  • Bouzidi, Mohammed; Gupta, Nishu; Alaya Cheikh, Faouzi; Shalaginov, Andrii; Derawi, Mohammad. (2022) A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey. IEEE Access. volum 10.
    Academic article
  • Cvitić, Ivan; Peraković, Dragan; Periša, Marko; Jevremović, Aleksandar; Shalaginov, Andrii. (2022) An Overview of Smart Home IoT Trends and related Cybersecurity Challenges. Mobile Networks and Applications.
    Academic article
  • Awuson-David, Kenny; Al-Hadhrami, Tawfik; Alazab, Mamoun; Shah, Nazaraf; Shalaginov, Andrii. (2021) BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem. Future generations computer systems. volum 122.
    Academic article
  • Guo, Zhiwei; Tang, Lianggui; Guo, Tan; Yu, Keping; Alazab, Mamoun; Shalaginov, Andrii. (2021) Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace. Future generations computer systems. volum 117.
    Academic article
  • Jensen, Øyvind; Shalaginov, Andrii; Dyrkolbotn, Geir Olav. (2021) Study of Blacklisted Malicious Domains from a Microsoft Windows End-user Perspective: Is It Safe Behind the Wall?. Norsk Informasjonssikkerhetskonferanse (NISK).
    Academic article
  • Shalaginov, Andrii; Azad, Muhammad Ajmal. (2021) Securing resource-constrained iot nodes: Towards intelligent microcontroller-based attack detection in distributed smart applications. Future Internet. volum 13 (11).
    Academic article
  • Alazab, Moutaz; Alazab, Mamoun; Shalaginov, Andrii; Mesleh, Abdelwadood; Awajan, Albara. (2020) Intelligent mobile malware detection using permission requests and API calls. Future generations computer systems. volum 107.
    Academic article
  • Azad, Muhammad Ajmal; Bag, Samiran; Feng, Hao; Shalaginov, Andrii. (2020) Decentralized Self-Enforcing Trust Management System for Social Internet of Things. IEEE Internet of Things Journal. volum 7 (4).
    Academic article
  • Kumar, Ajit; Agarwal, Vinti; Kumar Shandilya, Shishir; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2020) PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting. Future Internet. volum 12 (4).
    Academic article
  • Michailidou, Christina; Gkioulos, Vasileios; Shalaginov, Andrii; Rizos, Athanasios; Saracino, Andrea. (2020) RESPOnSE—A Framework for Enforcing Risk-Aware Security Policies in Constrained Dynamic Environments. Sensors. volum 20 (10).
    Academic article
  • Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel. (2020) Smart Policing for a Smart World Opportunities, Challenges and Way Forward. Advances in Intelligent Systems and Computing.
    Academic article
  • Faiz, Mohamed Falah; Arshad, Junaid; Alazab, Mamoun; Shalaginov, Andrii. (2019) Predicting likelihood of legitimate data loss in email DLP. Future generations computer systems.
    Academic article
  • 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). volum 11.
    Academic article
  • Shalaginov, Andrii. (2017) Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability. IJCAI International Joint Conference on Artificial Intelligence.
    Academic article
  • Shalaginov, Andrii; Franke, Katrin. (2017) Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing. volum 52.
    Academic article
  • 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). volum 2016.
    Academic article
  • Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK). volum 2016.
    Academic article
  • 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. volum 13 (3-4).
    Academic article
  • Shalaginov, Andrii; Franke, Katrin. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems. volum 13 (1).
    Academic article
  • 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. volum 10 (4).
    Academic article
  • Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V. (2016) Cyber security risk assessment of a DDoS attack. Lecture Notes in Computer Science (LNCS). volum 9866.
    Academic article

Books

  • Shalaginov, Andrii; Stamp, Mark; Alazab, Mamoun. (2021) Malware Analysis Using Artificial Intelligence and Deep Learning. Springer. 2021. ISBN 978-3-030-62581-8.
    Scientific anthology
  • 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.
    Scientific anthology

Part of book/report

  • Shalaginov, Andrii; Dyrkolbotn, Geir Olav; Alazab, Mamoun. (2021) Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs. Malware Analysis Using Artificial Intelligence and Deep Learning.
    Academic chapter/article
  • Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Securing Smart Future: Cyber Threats and Intelligent Means to Respond. 2021 IEEE International Conference on Big Data.
    Academic chapter/article
  • Shalaginov, Andrii; Øverlier, Lasse. (2021) A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks. Malware Analysis Using Artificial Intelligence and Deep Learning.
    Academic chapter/article
  • Shalaginov, Andrii; Iqbal, Asif; Olegård, Johannes. (2020) IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. Edge Computing – EDGE 2020.
    Academic chapter/article
  • 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).
    Academic chapter/article
  • Kumar, Ajit; Agarwal, Vinti; Shandilya, Shishir K.; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2019) PACE: Platform for Android Malware Classification and Performance Evaluation. 2019 IEEE International Conference on Big Data (Big Data).
    Academic chapter/article
  • 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.
    Academic chapter/article
  • 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.
    Academic chapter/article
  • 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.
    Academic chapter/article
  • Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. (2018) Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. Cyber Threat Intelligence.
    Academic chapter/article
  • Shalaginov, Andrii. (2017) Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. 2017 20th International Conference on Information Fusion.
    Academic chapter/article
  • Shalaginov, Andrii. (2017) Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 2017 International Joint Conference on Neural Networks (IJCNN).
    Academic chapter/article
  • 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.
    Academic chapter/article
  • 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.
    Academic chapter/article
  • 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.
    Academic chapter/article
  • 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).
    Academic chapter/article
  • Wangen, Gaute; Shalaginov, Andrii. (2016) Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. Risks and Security of Internet and Systems: 10th International Conference, CRiSIS 2015, Mytilene, Lesbos Island, Greece, July 20-22, 2015, Revised Selected Papers.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. Advances in Computational Intelligence; 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Eusflat-15.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations. 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015).
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2015) Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. Hybrid Intelligent Systems - proceedings of 15th International Conference HIS 2015 on Hybrid Intelligent Systems.
    Academic chapter/article
  • Shalaginov, Andrii; Franke, Katrin. (2013) Automatic rule-mining for malware detection employing Neuro-Fuzzy Approach. Proceeding of Norwegian Information Security Conference / Norsk informasjonssikkerhetskonferanse - NISK 2013 - Stavanger, 18th-20th November 2013.
    Academic chapter/article

Report

  • Shalaginov, Andrii. (2018) Advancing Neuro-Fuzzy Algorithm for Automated Classification in Large-scale Forensic and Cybercrime Investigations: Adaptive Machine Learning for Big Data Forensic. Norges teknisk-naturvitenskapelige universitet. 2018. ISBN 978-82-326-2906-0. Doktoravhandlinger ved NTNU (57).
    PhD thesis

Teaching

Courses

  • IMT4114 - Introduction to Digital Forensics
  • IMT4133 - Data Science for Security and Forensics

Media

2022

  • Lecture
    Shalaginov, Andrii. (2022) Artificial Intelligence for Cybersecurity in Resource-Constrained Smart Infrastructures: Applicability, Opportunities and Energy Modelling. Song Lab workshop . Embry-Riddle Aeronautical Unviersity; Daytona Beach, USA. 2022-11-16 - 2022-11-16.
  • Lecture
    Shalaginov, Andrii. (2022) Cybersecurity in smart grid system. Smarter Grid workshop . Høyskolen Kristiania; Oslo. 2022-11-03 - 2023-01-04.
  • Academic lecture
    Shalaginov, Andrii. (2022) EU-prosjekt ENViSEC. Semesterstartsamling for ansatte . Høyskolen Kristiania; Oslo. 2022-08-19 - 2022-08-19.
  • Academic lecture
    Shalaginov, Andrii. (2022) Building AI-based middleware for cyber attacks detection in the next generation Smart Environments. ENViSEC workshops . Høyskolen Kristiania; Oslo. 2022-05-02 - 2022-05-02.
  • Academic lecture
    Shalaginov, Andrii. (2022) The 6th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2022. IEEE International Conference on Big Data 2022 . IEEE; Osaka, Japan. 2022-12-17 - 2023-01-20.

2021

  • Lecture
    Shalaginov, Andrii. (2021) AI-based cybersecurity research at Høyskolen Kristiania. Cybersecurity webinar . Project Management Institute - Chapter Norway; Virtual. 2021-10-13 - 2021-10-13.
  • Lecture
    Shalaginov, Andrii. (2021) Artificial Intelligence and New Technologies. Fremtiden med IPR og kunstig intelligens . Danish Patent and Trademark Office; Copenhagen. 2021-10-15 - 2021-10-15.
  • Academic lecture
    Shalaginov, Andrii. (2021) Digital Evidences Analysis of embedded devices and IoT Forensics. Training School on Digital forensics: evidence analysis via intelligent systems and practices . DigForAsp (Digital forensics: evidence analysis via intelligent systems and practices); Budapest. 2021-10-04 - 2021-10-08.
  • Academic lecture
    Shalaginov, Andrii. (2021) ENViSEC project: Securing Smart Future. ENViSEC workshops . Høyskolen Kristiania; Oslo. 2021-12-03 - 2021-12-03.
  • Academic lecture
    Shalaginov, Andrii. (2021) The 5th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2021. IEEE International Conference on Big Data 2021 . IEEE; Virtual. 2021-12-15 - 2021-12-18.
  • Lecture
    Shalaginov, Andrii; Grønli, Tor-Morten. (2021) ENViSEC: Artificial Intelligence- enabled Cybersecurity for Future Smart Environments. The 6th Working Group Meeting (WG6) and the 5th Management Committee meeting (MCM5) . COST Action CA17124; Budapest. 2021-10-06 - 2021-10-08.
  • Academic lecture
    Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Workshop on Building Next Generation Internet: Artificial Intelligence-enabled Cybersecurity for IoT in Future Smart Environments. ENViSEC workshops . Høyskolen Kristiania; Oslo. 2021-12-03 - 2021-12-03.

2020

  • Lecture
    Shalaginov, Andrii. (2020) Identification and analysis of malware on selected suspected copyright-infringing websites. Observatory Impact of Technology Expert Group Meeting . European Union Intellectual Property Office; Alicante. 2020-01-30 - 2020-01-31.

2019

  • Popular scientific lecture
    Shalaginov, Andrii. (2019) Digital Footprint and Cybersecurity. Gjøvikregionen International School - guest lecture . Gjøvikregionen International School; Gjøvik. 2019-11-13 - 2019-11-13.
  • Lecture
    Shalaginov, Andrii. (2019) Life after Ph.D: collaboration, networking and funding opportunities. COINS PhD Seminar 2019 . COINS; Narvik. 2019-11-25 - 2019-11-25.

2018

  • Academic lecture
    Shalaginov, Andrii; Franke, Katrin; Johnsen, Jan William. (2018) The 2nd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2018. IEEE International Conference on Big Data 2018 . IEEE; Seattle, WA, USA. 2018-12-10 - 2018-12-13.

2017

  • Lecture
    Shalaginov, Andrii. (2017) Computational Forensics. IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention . Andrii Shalaginov, Katrin Franke, Jan William Johnson; Boston. 2017-12-11 - 2017-12-11.
  • Academic lecture
    Shalaginov, Andrii. (2017) Machine Learning Aided Malware Analysis - Research at NTNU. NorCERT sikkerhetsforum . NorCERT; Oslo. 2017-03-30 - 2017-03-30.

2015

  • Academic lecture
    Shalaginov, Andrii. (2015) Application of Computational Intelligence for Digital Forensics. COINS PhD Seminar . COINS; Stockholm. 2015-10-18 - 2015-10-19.
  • Lecture
    Shalaginov, Andrii. (2015) Automated generation of the human-understandable rules from network traffic dumps. 3rd National Workshop on Data Science ( SweDS ) . Blekinge Tekniska Högskola; Karlskrona. 2015-09-30 - 2015-10-01.
  • Poster
    Shalaginov, Andrii; Franke, Katrin. (2015) Generation of the human-understandable fuzzy rules from large-scale datasets for Digital Forensics applications using Neuro-Fuzzy. NordSec . KTH Royal Institute of Technology; Stockholm. 2015-10-19 - 2015-10-21.
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