Andrii Shalaginov

49 papers A* 1B 3C 6Journal 22Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks. IEEE Open J. Comput. Soc. Aleksandar Jevremovic, Zona Kostic, Ivan Chorbev, Dragan Perakovic, Andrii Shalaginov, Ivan Cvitic
2025	J	`jnl`	Generating vulnerability security fixes with Code Language Models. Inf. Softw. Technol. Guru Prasad Bhandari, Nikola Gavric, Andrii Shalaginov
2025	—	`conf`	Patient-Centric Hierarchical Federated Learning for Heart Rate Prediction. ICHI Bithi Banik, Debasish Ghose, Yuan Lin, Andrii Shalaginov
2025	J	`jnl`	State-of-the-Art and Challenges of Engineering ML- Enabled Software Systems in the Deep Learning Era. ACM Comput. Surv. Gebremariam Assres, Guru Prasad Bhandari, Andrii Shalaginov, Tor-Morten Grønli, Gheorghita Ghinea
2024	J	`jnl`	IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications. Int. J. Inf. Sec. Guru Prasad Bhandari, Gebremariam Assres, Nikola Gavric, Andrii Shalaginov, Tor-Morten Grønli
2024	J	`jnl`	Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics. J. Netw. Syst. Manag. Nikola Gavric, Guru Prasad Bhandari, Andrii Shalaginov
2024	J	`jnl`	VulnMiner: A comprehensive framework for vulnerability collection from C/C++ source code projects. Softw. Impacts Guru Prasad Bhandari, Nikola Gavric, Andrii Shalaginov
2023	J	`jnl`	An Overview of Smart Home IoT Trends and related Cybersecurity Challenges. Mob. Networks Appl. Ivan Cvitic, Dragan Perakovic, Marko Perisa, Aleksandar Jevremovic, Andrii Shalaginov
2023	J	`jnl`	Hybrid IoT Cyber Range. Sensors Karl Edvard Balto, Muhammad Mudassar Yamin, Andrii Shalaginov, Basel Katt
2022	J	`jnl`	A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey. IEEE Access Mohammed Bouzidi, Nishu Gupta, Faouzi Alaya Cheikh, Andrii Shalaginov, Mohammad Omar Derawi
2022	B	`conf`	Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments. IEEE Big Data Guru Prasad Bhandari, Andreas Lyth, Andrii Shalaginov, Tor-Morten Grønli
2021	J	`jnl`	BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem. Future Gener. Comput. Syst. Kenny Awuson-David, Tawfik Al Hadhrami, Mamoun Alazab, Nazaraf Shah, Andrii Shalaginov
2021	J	`jnl`	Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace. Future Gener. Comput. Syst. Zhiwei Guo, Lianggui Tang, Tan Guo, Keping Yu, Mamoun Alazab, Andrii Shalaginov
2021	J	`jnl`	Securing Resource-Constrained IoT Nodes: Towards Intelligent Microcontroller-Based Attack Detection in Distributed Smart Applications. Future Internet Andrii Shalaginov, Muhammad Ajmal Azad
2021	—	`conf`	Securing Smart Future: Cyber Threats and Intelligent Means to Respond. IEEE BigData Andrii Shalaginov, Tor-Morten Grønli
2020	J	`jnl`	Big Data Analytics and Artificial Intelligence for Cyber Crime Investigation and Prevention. Future Gener. Comput. Syst. Andrii Shalaginov
2020	J	`jnl`	Decentralized Self-Enforcing Trust Management System for Social Internet of Things. IEEE Internet Things J. Muhammad Ajmal Azad, Samiran Bag, Feng Hao, Andrii Shalaginov
2020	J	`jnl`	Intelligent mobile malware detection using permission requests and API calls. Future Gener. Comput. Syst. Moutaz Alazab, Mamoun Alazab, Andrii Shalaginov, Abdelwadood Mesleh, Albara W. Awajan
2020	—	`conf`	IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. EDGE Andrii Shalaginov, Asif Iqbal, Johannes Olegård
2020	—	`conf`	Modern Cybercrime Investigation: Technological Advancement of Smart Devices and Legal Aspects of Corresponding Digital Transformation. IEEE BigData Andrii Shalaginov, Marina Shalaginova, Aleksandar Jevremovic, Marko Krstic
2020	J	`jnl`	PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting. Future Internet Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav
2020	J	`jnl`	Predicting likelihood of legitimate data loss in email DLP. Future Gener. Comput. Syst. Mohamed Falah Faiz, Junaid Arshad, Mamoun Alazab, Andrii Shalaginov
2020	J	`jnl`	RESPOnSE - A Framework for Enforcing Risk-Aware Security Policies in Constrained Dynamic Environments. Sensors Christina Michailidou, Vasileios Gkioulos, Andrii Shalaginov, Athanasios Rizos, Andrea Saracino
2020	—	`conf`	Smart Home Forensics: An Exploratory Study on Smart Plug Forensic Analysis. IEEE BigData Asif Iqbal, Johannes Olegård, Ranjana Ghimire, Shirin Jamshir, Andrii Shalaginov
2019	—	`conf`	Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data. IEEE BigData Andrii Shalaginov, Igor Kotsiuba, Asif Iqbal
2019	—	`conf`	Cybersecurity Awareness and Culture in Rural Norway. HAISA Håkon Gunleifsen, Vasileios Gkioulos, Gaute Wangen, Andrii Shalaginov, Mazaher Kianpour, Mohamed Abomhara
2019	—	`conf`	MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. UCC Companion Andrii Shalaginov, Oleksandr Semeniuta, Mamoun Alazab
2019	—	`conf`	PACE: Platform for Android Malware Classification and Performance Evaluation. IEEE BigData Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav
2018	—	`conf`	Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems. IEEE BigData Asif Iqbal, Farhan Mahmood, Andrii Shalaginov, Mathias Ekstedt
2018	—	`conf`	Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks. IEEE BigData Asif Iqbal, Andrii Shalaginov, Farhan Mahmood
2018	J	`jnl`	Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. CoRR Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke
2017	—	`conf`	A deep neuro-fuzzy method for multi-label malware classification and fuzzy rules extraction. SSCI Andrii Shalaginov, Katrin Franke
2017	J	`jnl`	Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Appl. Soft Comput. Andrii Shalaginov, Katrin Franke
2017	—	`conf`	Cyber crime investigations in the era of big data. IEEE BigData Andrii Shalaginov, Jan William Johnsen, Katrin Franke
2017	C	`conf`	Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. FUSION Andrii Shalaginov
2017	B	`conf`	Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. IJCNN Andrii Shalaginov
2017	A*	`conf`	Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability. IJCAI Andrii Shalaginov
2016	C	`conf`	Automated intelligent multinomial classification of malware species using dynamic behavioural analysis. PST Andrii Shalaginov, Katrin Franke
2016	C	`conf`	Cyber Security Risk Assessment of a DDoS Attack. ISC Gaute Wangen, Andrii Shalaginov, Christoffer Hallstensen
2016	J	`jnl`	Intelligent generation of fuzzy rules for network firewalls based on the analysis of large-scale network traffic dumps. Int. J. Hybrid Intell. Syst. Andrii Shalaginov, Katrin Franke
2016	J	`jnl`	Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. Int. J. Hybrid Intell. Syst. Andrii Shalaginov, Katrin Franke
2016	C	`conf`	Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science. ISI Andrii Shalaginov
2016	—	`conf`	Study of Soft Computing Methods for Large-Scale Multinomial Malware Types and Families Detection. WCSC Lars Strande Grini, Andrii Shalaginov, Katrin Franke
2016	B	`conf`	Understanding Neuro-Fuzzy on a class of multinomial malware detection problems. IJCNN Andrii Shalaginov, Lars Strande Grini, Katrin Franke
2015	—	`conf`	A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. IWANN (2) Andrii Shalaginov, Katrin Franke
2015	—	`conf`	A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. IFSA-EUSFLAT Andrii Shalaginov, Katrin Franke
2015	—	`conf`	Automated generation of fuzzy rules from large-scale network traffic analysis in digital forensics investigations. SoCPaR Andrii Shalaginov, Katrin Franke
2015	C	`conf`	Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. CRiSIS Gaute Wangen, Andrii Shalaginov
2015	C	`conf`	Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. HIS Andrii Shalaginov, Katrin Franke