Andrii Shalaginov

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).

Publikasjoner

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

Formidling