Andrii Shalaginov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Digital Forensics

Machine Learning

Top Venues

Future Gener. Comput. Syst.

Int. J. Hybrid Intell. Syst.

Publications

Guru Prasad Bhandari, Gebremariam Assres, Nikola Gavric, Andrii Shalaginov, Tor-Morten Grønli
IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications. Int. J. Inf. Sec. 23 (4) (2024)
Nikola Gavric, Guru Prasad Bhandari, Andrii Shalaginov
Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics. J. Netw. Syst. Manag. 32 (4) (2024)
Karl Edvard Balto, Muhammad Mudassar Yamin, Andrii Shalaginov, Basel Katt
Hybrid IoT Cyber Range. Sensors 23 (6) (2023)
Guru Prasad Bhandari, Andreas Lyth, Andrii Shalaginov, Tor-Morten Grønli
Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments. Big Data (2022)
Mohammed Bouzidi, Nishu Gupta, Faouzi Alaya Cheikh, Andrii Shalaginov, Mohammad Omar Derawi
A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey. IEEE Access 10 (2022)
Zhiwei Guo, Lianggui Tang, Tan Guo, Keping Yu, Mamoun Alazab, Andrii Shalaginov
Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace. Future Gener. Comput. Syst. 117 (2021)
Kenny Awuson-David, Tawfik Al Hadhrami, Mamoun Alazab, Nazaraf Shah, Andrii Shalaginov
BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem. Future Gener. Comput. Syst. 122 (2021)
Andrii Shalaginov, Tor-Morten Grønli
Securing Smart Future: Cyber Threats and Intelligent Means to Respond. IEEE BigData (2021)
Andrii Shalaginov, Muhammad Ajmal Azad
Securing Resource-Constrained IoT Nodes: Towards Intelligent Microcontroller-Based Attack Detection in Distributed Smart Applications. Future Internet 13 (11) (2021)
Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav
PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting. Future Internet 12 (4) (2020)
Asif Iqbal, Johannes Olegård, Ranjana Ghimire, Shirin Jamshir, Andrii Shalaginov
Smart Home Forensics: An Exploratory Study on Smart Plug Forensic Analysis. IEEE BigData (2020)
Andrii Shalaginov, Asif Iqbal, Johannes Olegård
IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications. EDGE (2020)
Andrii Shalaginov
Big Data Analytics and Artificial Intelligence for Cyber Crime Investigation and Prevention. Future Gener. Comput. Syst. 109 (2020)
Christina Michailidou, Vasileios Gkioulos, Andrii Shalaginov, Athanasios Rizos, Andrea Saracino
RESPOnSE - A Framework for Enforcing Risk-Aware Security Policies in Constrained Dynamic Environments. Sensors 20 (10) (2020)
Muhammad Ajmal Azad, Samiran Bag, Feng Hao, Andrii Shalaginov
Decentralized Self-Enforcing Trust Management System for Social Internet of Things. IEEE Internet Things J. 7 (4) (2020)
Andrii Shalaginov, Marina Shalaginova, Aleksandar Jevremovic, Marko Krstic
Modern Cybercrime Investigation: Technological Advancement of Smart Devices and Legal Aspects of Corresponding Digital Transformation. IEEE BigData (2020)
Mohamed Falah Faiz, Junaid Arshad, Mamoun Alazab, Andrii Shalaginov
Predicting likelihood of legitimate data loss in email DLP. Future Gener. Comput. Syst. 110 (2020)
Moutaz Alazab, Mamoun Alazab, Andrii Shalaginov, Abdelwadood Mesleh, Albara W. Awajan
Intelligent mobile malware detection using permission requests and API calls. Future Gener. Comput. Syst. 107 (2020)
Andrii Shalaginov, Oleksandr Semeniuta, Mamoun Alazab
MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. UCC Companion (2019)
Andrii Shalaginov, Igor Kotsiuba, Asif Iqbal
Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data. IEEE BigData (2019)
Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav
PACE: Platform for Android Malware Classification and Performance Evaluation. IEEE BigData (2019)
Håkon Gunleifsen, Vasileios Gkioulos, Gaute Wangen, Andrii Shalaginov, Mazaher Kianpour, Mohamed Abomhara
Cybersecurity Awareness and Culture in Rural Norway. HAISA (2019)
Asif Iqbal, Andrii Shalaginov, Farhan Mahmood
Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks. IEEE BigData (2018)
Asif Iqbal, Farhan Mahmood, Andrii Shalaginov, Mathias Ekstedt
Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems. IEEE BigData (2018)
Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. CoRR (2018)
Andrii Shalaginov, Katrin Franke
A deep neuro-fuzzy method for multi-label malware classification and fuzzy rules extraction. SSCI (2017)
Andrii Shalaginov, Jan William Johnsen, Katrin Franke
Cyber crime investigations in the era of big data. IEEE BigData (2017)
Andrii Shalaginov, Katrin Franke
Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Appl. Soft Comput. 52 (2017)
Andrii Shalaginov
Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability. IJCAI (2017)
Andrii Shalaginov
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. IJCNN (2017)
Andrii Shalaginov
Dynamic feature-based expansion of fuzzy sets in Neuro-Fuzzy for proactive malware detection. FUSION (2017)
Andrii Shalaginov, Katrin Franke
Intelligent generation of fuzzy rules for network firewalls based on the analysis of large-scale network traffic dumps. Int. J. Hybrid Intell. Syst. 13 (3-4) (2016)
Andrii Shalaginov, Lars Strande Grini, Katrin Franke
Understanding Neuro-Fuzzy on a class of multinomial malware detection problems. IJCNN (2016)
Andrii Shalaginov, Katrin Franke
Automated intelligent multinomial classification of malware species using dynamic behavioural analysis. PST (2016)
Lars Strande Grini, Andrii Shalaginov, Katrin Franke
Study of Soft Computing Methods for Large-Scale Multinomial Malware Types and Families Detection. WCSC (2016)
Gaute Wangen, Andrii Shalaginov, Christoffer Hallstensen
Cyber Security Risk Assessment of a DDoS Attack. ISC (2016)
Andrii Shalaginov, Katrin Franke
Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. Int. J. Hybrid Intell. Syst. 13 (1) (2016)
Andrii Shalaginov
Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science. ISI (2016)
Gaute Wangen, Andrii Shalaginov
Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security. CRiSIS (2015)
Andrii Shalaginov, Katrin Franke
Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. HIS (2015)
Andrii Shalaginov, Katrin Franke
Automated generation of fuzzy rules from large-scale network traffic analysis in digital forensics investigations. SoCPaR (2015)
Andrii Shalaginov, Katrin Franke
A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. IWANN (2) (2015)
Andrii Shalaginov, Katrin Franke
A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. IFSA-EUSFLAT (2015)