Andrii Shalaginov
Om
Publikasjoner
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 Electricity Price Forecasting of Elspot Markets in Norway.
ENERGY, International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies
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
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
Tidsskriftspublikasjoner
-
Gavric, Nikola;
Shalaginov, Andrii;
Andrushevich, Aliaksei;
Rumsch, Andreas;
Paice, Andrew.
(2025)
Enhancing Security in International Data Spaces: A STRIDE Framework Approach.
Technologies
Vitenskapelig artikkel
-
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 Electricity Price Forecasting of Elspot Markets in Norway.
ENERGY, International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
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
-
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
-
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
-
Shalaginov, Andrii;
Banin, Sergii;
Dehghantanha, Ali;
Franke, Katrin.
(2018)
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
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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.
(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)
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
-
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 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
-
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
2023
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Vitenskapelig foredragShalaginov, Andrii. (2023) Artificial Intelligence for Cybersecurity in Resource-Constrained Smart Infrastructures: Applicability, Opportunities and Energy Modelling. COST Action COST Action DigForAsp - 9th WG & 7th MC Meetings - Cadiz, Spain , Cadiz, Spain 2023-03-01 - 2023-03-03
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Faglig foredragShalaginov, Andrii. (2023) Panel Session on "The Impact of Artificial Intelligence on Enforcement Activities". INTERPOL 2023 International Law Enforcement Intellectual Property Crime Conference , Oslo, Norway 2023-09-25 - 2023-09-27
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Vitenskapelig foredragShalaginov, Andrii. (2023) AI for Cybersecurity in Resource-Constrained Smart Infrastructures. European Alliance for Innovation EAI FABULOUS 2023 - 7th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures , Bratislava, Slovakia 2023-10-24 - 2023-10-26
2022
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Vitenskapelig foredragBhandari, 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
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Vitenskapelig foredragShalaginov, Andrii. (2022) EU-prosjekt ENViSEC . Høyskolen Kristiania Semesterstartsamling for ansatte , Oslo 2022-08-19 - 2022-08-19
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Faglig foredragShalaginov, 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
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Faglig foredragShalaginov, Andrii. (2022) Cybersecurity in smart grid system. Høyskolen Kristiania Smarter Grid workshop , Oslo 2022-11-03 - 2023-01-04
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Vitenskapelig foredragShalaginov, 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
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Vitenskapelig foredragShalaginov, 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
2021
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Vitenskapelig foredragShalaginov, 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
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Vitenskapelig foredragShalaginov, 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
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Faglig foredragShalaginov, Andrii. (2021) AI-based cybersecurity research at Høyskolen Kristiania. Project Management Institute - Chapter Norway Cybersecurity webinar , Virtual 2021-10-13 - 2021-10-13
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Vitenskapelig foredragShalaginov, Andrii. (2021) ENViSEC project: Securing Smart Future. Høyskolen Kristiania ENViSEC workshops , Oslo 2021-12-03 - 2021-12-03
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Faglig foredragShalaginov, 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
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Faglig foredragShalaginov, 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
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Vitenskapelig foredragShalaginov, 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
2020
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Faglig foredragShalaginov, 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
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Populærvitenskapelig foredragShalaginov, Andrii. (2019) Digital Footprint and Cybersecurity. Gjøvikregionen International School Gjøvikregionen International School - guest lecture , Gjøvik 2019-11-13 - 2019-11-13
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Faglig foredragShalaginov, Andrii. (2019) Life after Ph.D: collaboration, networking and funding opportunities. COINS COINS PhD Seminar 2019 , Narvik 2019-11-25 - 2019-11-25
2018
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Vitenskapelig foredragShalaginov, 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
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Faglig foredragShalaginov, 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
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Vitenskapelig foredragShalaginov, Andrii. (2017) Machine Learning Aided Malware Analysis - Research at NTNU. NorCERT NorCERT sikkerhetsforum , Oslo 2017-03-30 - 2017-03-30
2015
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PosterShalaginov, 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
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Faglig foredragShalaginov, 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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Vitenskapelig foredragShalaginov, Andrii. (2015) Application of Computational Intelligence for Digital Forensics. COINS COINS PhD Seminar , Stockholm 2015-10-18 - 2015-10-19