2025

• Gavric, Nikola; Shalaginov, Andrii; Andrushevich, Aliaksei; Rumsch, Andreas; Paice, Andrew. (2025) Enhancing Security in International Data Spaces: A STRIDE Framework Approach. Technologies
  Vitenskapelig artikkel

2024

• Bhandari, Guru Prasad; Assres, Gebremariam Mesfin; Gavric, Nikola; Shalaginov, Andrii; Grønli, Tor-Morten. (2024) IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications. International Journal of Information Security
  Vitenskapelig artikkel
• Gavric, Nikola; Bhandari, Guru; Shalaginov, Andrii. (2024) Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics. Journal of Network and Systems Management
  Vitenskapelig artikkel
• Jensen, Markus Wiik; Ren, Huamin; Shalaginov, Andrii. (2024) Day-ahead Forecasting Electricity Spot Prices in Norway with ARIMA, XGBoost and LSTM Models. International Journal On Advances in Systems and Measurements
  Vitenskapelig artikkel
• Bhandari, Guru; Gavric, Nikola; Shalaginov, Andrii. (2024) VulnMiner: A comprehensive framework for vulnerability collection from C/C++ source code projects[Formula presented]. Software Impacts
  Vitenskapelig artikkel
• Jevremovic, Aleksandar; Kostic, Zona; Chorbev, Ivan; Perakovic, Dragan; Shalaginov, Andrii; Cvitic, Ivan. (2024) Energy efficiency of kernel and user space level VPN solutions in AIoT networks. IEEE Open Journal of the Computer Society (OJ-CS)
  Vitenskapelig artikkel
• Jensen, Markus Wiik; Ren, Huamin; Shalaginov, Andrii. (2024) Day-ahead Electricity Price Forecasting of Elspot Markets in Norway. ENERGY, International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies
  Vitenskapelig artikkel

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 (Basel)
  Vitenskapelig artikkel
• Balto, Karl Edvard Eriksen; Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel. (2023) Hybrid IoT Cyber Range. Sensors
  Vitenskapelig oversiktsartikkel/review

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
  Vitenskapelig artikkel
• 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

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 Generation 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
• 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 Generation Computer Systems
  Vitenskapelig artikkel
• Shalaginov, Andrii; Grønli, Tor-Morten. (2021) Securing Smart Future: Cyber Threats and Intelligent Means to Respond. IEEE Press
  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; 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; Stamp, Mark; Alazab, Mamoun. (2021) Malware Analysis Using Artificial Intelligence and Deep Learning. Springer Springer
  Vitenskapelig antologi/Konferanseserie

2020

• 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
• 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
• 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
• 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
• Alazab, Moutaz; Alazab, Mamoun; Shalaginov, Andrii; Mesleh, Abdelwadood; Awajan, Albara. (2020) Intelligent mobile malware detection using permission requests and API calls. Future Generation Computer Systems
  Vitenskapelig artikkel

2019

• 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 Generation Computer Systems
  Vitenskapelig artikkel
• 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
• 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

2018

• 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. (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
• 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
• 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

2017

• 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; 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; 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; 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; 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

• Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. (2016) Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK)
  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
• 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
• 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; 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
• 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. (2016) Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems
  Vitenskapelig artikkel

2015

• 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. (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 of fuzzy patches construction in Neuro-Fuzzy for malware detection. Atlantis Press
  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