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Andrii Shalaginov

Andrii Shalaginov

Førsteamanuensis

andrii.shalaginov@ntnu.no
61135375 Ametyst-bygget, A121, Gjøvik
Google Scholar GitHub Google Scholar
Om Publikasjoner Undervisning Formidling

Om

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).

Kompetanseord

  • Big Data
  • Digital forensics
  • Informasjonssikkerhet
  • Internet of Things
  • Malware
  • Maskinlæring

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2023

  • Bhandari, Guru; Lyth, Andreas; Shalaginov, Andrii; Grønli, Tor-Morten. (2023) Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach. Electronics
    Vitenskapelig artikkel
  • Edvard Balto, Karl; Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel. (2023) Hybrid IoT Cyber Range. Sensors
    Vitenskapelig oversiktsartikkel/review

2022

  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel

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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Azad, Muhammad Ajmal. (2021) Securing resource-constrained iot nodes: Towards intelligent microcontroller-based attack detection in distributed smart applications. Future Internet
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Securing Smart Future: Cyber Threats and Intelligent Means to Respond. IEEE Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Øverlier, Lasse. (2021) A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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)
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Stamp, Mark; Alazab, Mamoun. (2021) Malware Analysis Using Artificial Intelligence and Deep Learning. Springer Springer
    Vitenskapelig antologi/Konferanseserie

2020

  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Iqbal, Asif; Olegård, Johannes. (2020) IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel

2019

  • Kumar, Ajit; Agarwal, Vinti; Shandilya, Shishir K.; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2019) PACE: Platform for Android Malware Classification and Performance Evaluation. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gunleifsen, Håkon; Gkioulos, Vasileios; Wangen, Gaute; Shalaginov, Andrii; Kianpour, Mazaher; Abomhara, Mohamed Ali Saleh. (2019) Cybersecurity Awareness and Culture in Rural Norway. University of Plymouth Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Semeniuta, Oleksandr; Alazab, Mamoun. (2019) MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. Association for Computing Machinery (ACM)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Faiz, Mohamed Falah; Arshad, Junaid; Alazab, Mamoun; Shalaginov, Andrii. (2019) Predicting likelihood of legitimate data loss in email DLP. Future generations computer systems
    Vitenskapelig artikkel

2018

  • Iqbal, Asif; Shalaginov, Andrii; Mahmood, Farhan. (2018) Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Iqbal, Asif; Mahmood, Farhan; Shalaginov, Andrii; Ekstedt, Mathias. (2018) Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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)
    Vitenskapelig artikkel
  • 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 Doktoravhandlinger ved NTNU (57)
    Doktorgradsavhandling
  • Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. (2018) Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2017

  • Shalaginov, Andrii; Franke, Katrin. (2017) Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing
    Vitenskapelig artikkel
  • Shalaginov, Andrii. (2017) Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability. IJCAI International Joint Conference on Artificial Intelligence
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Franke, Katrin. (2017) A Deep Neuro-Fuzzy method for multi-label malware classification and fuzzy rules extraction. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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 (Institute of Electrical and Electronics Engineers) IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig antologi/Konferanseserie
  • Shalaginov, Andrii. (2017) Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii. (2017) Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Johnsen, Jan William; Franke, Katrin. (2017) Cyber crime investigations in the era of big data. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2016

  • Wangen, Gaute; Shalaginov, Andrii. (2016) Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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)
    Vitenskapelig artikkel
  • Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii. (2016) Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Franke, Katrin. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems
    Vitenskapelig artikkel
  • Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V. (2016) Cyber security risk assessment of a DDoS attack. Lecture Notes in Computer Science (LNCS)
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Grini, Lars Strande; Franke, Katrin. (2016) Understanding Neuro-Fuzzy on a Class of Multinomial Malware Detection Problems. Research Publishing Services
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2015

  • Shalaginov, Andrii; Franke, Katrin. (2015) A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. Atlantis Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. Springer Publishing Company
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2013

  • Shalaginov, Andrii; Franke, Katrin. (2013) Automatic rule-mining for malware detection employing Neuro-Fuzzy Approach. Akademika forlag
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Tidsskriftspublikasjoner

  • Bhandari, Guru; Lyth, Andreas; Shalaginov, Andrii; Grønli, Tor-Morten. (2023) Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach. Electronics
    Vitenskapelig artikkel
  • Edvard Balto, Karl; Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel. (2023) Hybrid IoT Cyber Range. Sensors
    Vitenskapelig oversiktsartikkel/review
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Azad, Muhammad Ajmal. (2021) Securing resource-constrained iot nodes: Towards intelligent microcontroller-based attack detection in distributed smart applications. Future Internet
    Vitenskapelig artikkel
  • 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)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Faiz, Mohamed Falah; Arshad, Junaid; Alazab, Mamoun; Shalaginov, Andrii. (2019) Predicting likelihood of legitimate data loss in email DLP. Future generations computer systems
    Vitenskapelig artikkel
  • 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)
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Franke, Katrin. (2017) Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing
    Vitenskapelig artikkel
  • Shalaginov, Andrii. (2017) Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability. IJCAI International Joint Conference on Artificial Intelligence
    Vitenskapelig artikkel
  • 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)
    Vitenskapelig artikkel
  • Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Shalaginov, Andrii; Franke, Katrin. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems
    Vitenskapelig artikkel
  • Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V. (2016) Cyber security risk assessment of a DDoS attack. Lecture Notes in Computer Science (LNCS)
    Vitenskapelig artikkel

Bøker

  • Shalaginov, Andrii; Stamp, Mark; Alazab, Mamoun. (2021) Malware Analysis Using Artificial Intelligence and Deep Learning. Springer Springer
    Vitenskapelig antologi/Konferanseserie
  • 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 (Institute of Electrical and Electronics Engineers) IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig antologi/Konferanseserie

Del av bok/rapport

  • Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Securing Smart Future: Cyber Threats and Intelligent Means to Respond. IEEE Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Øverlier, Lasse. (2021) A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Iqbal, Asif; Olegård, Johannes. (2020) IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Kumar, Ajit; Agarwal, Vinti; Shandilya, Shishir K.; Shalaginov, Andrii; Upadhyay, Saket; Yadav, Bhawna. (2019) PACE: Platform for Android Malware Classification and Performance Evaluation. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gunleifsen, Håkon; Gkioulos, Vasileios; Wangen, Gaute; Shalaginov, Andrii; Kianpour, Mazaher; Abomhara, Mohamed Ali Saleh. (2019) Cybersecurity Awareness and Culture in Rural Norway. University of Plymouth Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Semeniuta, Oleksandr; Alazab, Mamoun. (2019) MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. Association for Computing Machinery (ACM)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Iqbal, Asif; Shalaginov, Andrii; Mahmood, Farhan. (2018) Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Iqbal, Asif; Mahmood, Farhan; Shalaginov, Andrii; Ekstedt, Mathias. (2018) Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. (2018) Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2017) A Deep Neuro-Fuzzy method for multi-label malware classification and fuzzy rules extraction. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii. (2017) Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii. (2017) Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Johnsen, Jan William; Franke, Katrin. (2017) Cyber crime investigations in the era of big data. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Wangen, Gaute; Shalaginov, Andrii. (2016) Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii. (2016) Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Grini, Lars Strande; Franke, Katrin. (2016) Understanding Neuro-Fuzzy on a Class of Multinomial Malware Detection Problems. Research Publishing Services
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. Atlantis Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. Springer Publishing Company
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2015) A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Shalaginov, Andrii; Franke, Katrin. (2013) Automatic rule-mining for malware detection employing Neuro-Fuzzy Approach. Akademika forlag
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

  • 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 Doktoravhandlinger ved NTNU (57)
    Doktorgradsavhandling

Undervisning

Emner

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

Formidling

2022

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

2021

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

2020

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

2019

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

2018

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

2017

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

2015

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