Andrii Shalaginov

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).

Publications

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

Media