Yuliia Parfenenko
@sumdu.edu.ua
Scopus Publications
- Synthesis of a Moth and Flame Algorithm for Incorporation into the Architecture of Deceptive Systems with Baits and Traps
Oleg Savenko, Bohdan Rusyn, Sergii Lysenko, Tomasz Ciszewski, Bohdan Savenko, Andrii Drozd, Andrii Nicheporuk, Anatoliy Sachenko
Applied Sciences Switzerland, 2026
This paper proposes a novel method for synthesizing a discrete optimization algorithm based on the moth–flame paradigm for application to the architecture of deceptive systems incorporating decoys and traps. Unlike existing approaches that primarily rely on continuous search spaces or static deception strategies, the proposed method enables the formation of a discrete search space with a coordinate-based representation of deception objects and system states. A spiral search trajectory is synthesized by modeling the dynamic interaction between moths and flames, which allows the algorithm to balance exploration and exploitation effectively and to mitigate premature convergence to local optima. The problem of selecting subsequent operational steps of a deceptive system, which includes the control and reconfiguration of decoys and traps in response to detected events, is formulated as a discrete optimization problem. The objective of this optimization is to increase the effectiveness of cyberattack and malware detection in corporate network environments. The decision variables include the sequence of deception actions, process models, and architectural characteristics of the system, while the constraints are defined by the operational conditions, resource limitations, and structural features of corporate networks. The proposed method supports the identification of an optimal sequence of deception actions under dynamically changing conditions and provides mechanisms for operational adaptation to attacker behavior in real time. This adaptability enables the creation of deceptive systems capable of long-term autonomous operation without continuous administrative intervention, while simultaneously increasing their resistance to adversarial reconnaissance and reverse engineering of their operational principles. The experimental results confirm the feasibility and effectiveness of the proposed approach and demonstrate the potential of integrating population-based optimization algorithms into deceptive system architectures. Comparative analysis shows that the proposed method outperforms its closest competitor, the genetic algorithm, achieving an improvement of 4.82% in terms of the objective function value. Future research directions include deeper integration of population-based optimization methods into decoy-and-trap architectures and the development of a comprehensive framework for organizing their operation in accordance with the proposed conceptual model. Overall, the results contribute to enhancing the cyber-resilience of corporate networks through intelligent, adaptive, and autonomous systems for countering modern cyberattacks and malware. - Control and Decision-Making in Deceptive Multi-Computer Systems Based on Previous Experience for Cybersecurity of Critical Infrastructure
Antonina Kashtalian, Łukasz Ścisło, Rafał Rucki, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk
Applied Sciences Switzerland, 2025
The paper presents methods for organizing decision-making and the functioning of deceptive multi-computer systems based on prior operational experience and multiple task execution options. A formal representation of system components and their interconnections is developed, distinguishing between the system center and the decision-making controller. The system center prepares possible task execution options, while the decision-making controller evaluates these options considering past performance and selects one. Analytical expressions are proposed to describe processes within multi-computer systems, enabling autonomous decision-making in task execution. A method is developed for organizing the decision-making controller’s operation to ensure the selection of a task option based on prior experience, component security levels, and system topology. This approach allows for the formation of polymorphic responses to external and internal actions in corporate networks. Additionally, a method for organizing system functioning enables systems to adapt their properties, structure, and interconnections in response to functional and cybersecurity conditions. This can be used especially in cybersecurity of critical infrastructure systems like electrical power grids, smart grid infrastructure, energy plants and industrial control systems. A prototype was developed and tested under two scenarios: choosing among five task options and having only one option. Results showed greater operational stability in the first case, confirming that incorporating prior experience enhances resilience and creates polymorphic responses that hinder attackers’ attempts to study and exploit corporate networks. - Development of the social engineering attack models
Ceur Workshop Proceedings, 2025 - 2nd International Workshop on Advanced Applied Information Technologies: AI & DSS (AdvAIT - 2025) Preface
Ceur Workshop Proceedings, 2025 - Preface
Ceur Workshop Proceedings, 2025 - Preface
Ceur Workshop Proceedings, 2025 - Preface
Ceur Workshop Proceedings, 2025 - Detecting software implants using system decoys
Ceur Workshop Proceedings, 2025 - Information-diagnostic online SMART platform utilizing an open-source virtual learning environment
Ceur Workshop Proceedings, 2025 - Multi-Agent System for Detecting Polymorphic Viruses in Computer Networks
Maksym Chaikovskyi, Inna Chaikovska, Sergii Lysenko, Oleg Savenko, Anatoliy Sachenko
Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2025
The detection of polymorphic viruses poses significant challenges due to their ability to modify their structure while retaining malicious functionality. This paper presents a hybrid multi-agent system (MAS) architecture designed for the detection and classification of polymorphic viruses in computer networks. The system consists of specialized agents—Analysis, Propagation Rate, Detection, Classification, and Decision-making agentsythat collaborate to analyze threats, model virus spread, detect infections using diverse methods, classify viruses by complexity levels using fuzzy logic, and apply appropriate mitigation strategies. The effectiveness of the proposed MAS was evaluated using additive and multiplicative performance models, achieving an average efficiency of $\mathbf{9 5. 3 5 \%}$ across varying complexity levels of polymorphic viruses. Experimental results demonstrate the system’s high detection and classification rates, particularly for lower-complexity threats, and validate its potential for deployment in cybersecurity operations. Future improvements will focus on enhancing agent adaptability and detection precision against highly complex polymorphic malware. - Experimental validation of a synthesis method for resilient AR/VR architectures
Ceur Workshop Proceedings, 2025 - Mathematical model of the cloud infrastructure life cycle*
Ceur Workshop Proceedings, 2025 - Distributed Computing Framework for Detecting Malicious Behavior of Infected Programs in Modified Isolated Environments
Pavlo Rehida, Andrii Nicheporuk, Oleg Savenko, Sergii Lysenko, Bohdan Savenko, Anatoliy Sachenko
Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2025 - A Method for Classifying Polymorphic Viruses Based on Fuzzy Logical Inference
Maksym Chaikovskyi, Oleg Savenko, Sergii Lysenko, Vladyslav Ivanyna, Inna Chaikovska, Bohdan Savenko
Proceedings International Conference on Advanced Computer Information Technologies Acit, 2025 - A method for synthesising system architecture for IT infrastructure resistant to social engineering attacks
Ceur Workshop Proceedings, 2025 - Method and Rules for Determining the Next Centralization Option in Multicomputer System Architecture
Antonina Kashtalian, Sergii Lysenko, Tetiana Kysil, Anatoliy Sachenko, Oleg Savenko, Bohdan Savenko
International Journal of Computing, 2025 - EVALUATION CRITERIA OF CENTRALIZATION OPTIONS IN THE ARCHITECTURE OF MULTICOMPUTER SYSTEMS WITH TRAPS AND BAITS
Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk
Radioelectronic and Computer Systems, 2025 - A Resilience Assurance Process Model for Enhancing Virtual Reality Architectural Design
Sergii Lysenko, Artem Kachur
Proceedings 2024 14th International Conference on Dependable Systems Services and Technologies Trustworthy AI Internet of Robotics and Big Data for A Safe and Secure World Dessert 2024, 2024 - Methods of improving security and resilience of VR systems’ architecture
Ceur Workshop Proceedings, 2024 - Social Engineering Attacks Models
Sergii Lysenko, Oleg Savenko, Oleksandr Bokhonko, Piotr Gaj
Proceedings 2024 14th International Conference on Dependable Systems Services and Technologies Trustworthy AI Internet of Robotics and Big Data for A Safe and Secure World Dessert 2024, 2024 - Preface
Ceur Workshop Proceedings, 2024 - Preface
Ceur Workshop Proceedings, 2024 - A Method for identifying cyberattacks based on the use of social engineering over the phone
Ceur Workshop Proceedings, 2024 - Detection system of software implants using decoys
Dmytro Denysiuk, Bohdan Savenko, Antonina Kashtalian, Oleg Savenko, Sergii Lysenko
Proceedings 2024 14th International Conference on Dependable Systems Services and Technologies Trustworthy AI Internet of Robotics and Big Data for A Safe and Secure World Dessert 2024, 2024 - Method of optimizing delay in IoT system using fog calculations
Ceur Workshop Proceedings, 2024 - MULTI-COMPUTER MALWARE DETECTION SYSTEMS WITH METAMORPHIC FUNCTIONALITY
Antonina Kashtalian, Sergii Lysenko, Oleg Savenko, Andrii Nicheporuk, Tomáš Sochor, Volodymyr Avsiyevych
Radioelectronic and Computer Systems, 2024 - Challenges Towards VR Technology: VR Architecture Optimization
Sergii Lysenko, Artem Kachur
2023 13th International Conference on Dependable Systems Services and Technologies Dessert 2023, 2023 - Distributed Discrete Malware Detection Systems Based on Partial Centralization and Self-Organization
Sergii Lysenko, Bohdan Savenko
International Journal of Computing, 2023 - Preface
Ceur Workshop Proceedings, 2023 - Malware Detection By Distributed Systems with Partial Centralization
Bohdan Savenko, Antonina Kashtalian, Sergii Lysenko, Oleg Savenko
Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023 - PRINCIPLE AND METHOD OF DECEPTION SYSTEMS SYNTHESIZING FOR MALWARE AND COMPUTER ATTACKS DETECTION
Antonina Kashtalian, Sergii Lysenko, Bohdan Savenko, Tomáš Sochor, Tetiana Kysil
Radioelectronic and Computer Systems, 2023 - Blockchain-based Deep Learning Algorithm for Detecting Malware
Ceur Workshop Proceedings, 2023 - Information Technology for Predicting the Course of Climacteric Syndrome
Ceur Workshop Proceedings, 2023 - Method for Detecting Steganographic Changes in Images Using Machine Learning
Dmytro Denysiuk, Oleg Savenko, Sergii Lysenko, Bohdan Savenko, Antonina Kashtalian
2023 13th International Conference on Dependable Systems Services and Technologies Dessert 2023, 2023 - Social Engineering Attacks Detection Approach
Sergii Lysenko, Volodymyr Vorobiov, Oleksandr Bokhonko, Piotr Gaj, Oleg Savenko, Jacek Wołoszyn
2023 13th International Conference on Dependable Systems Services and Technologies Dessert 2023, 2023 - IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency
Sergii Lysenko, Kira Bobrovnikova, Vyacheslav Kharchenko, Oleg Savenko
Algorithms, 2022 - Machine Learning Based Techniques for Cyberattacks Detection in the Internet of Things Infrastructure
Ceur Workshop Proceedings, 2022 - IoT Cyberattack Detection Approach Based on Energy Consumption Analysis
Kira Bobrovnikova, Oleg Savenko, Sergii Lysenko, Ivan Hurman
Proceedings of the 2022 IEEE 12th International Conference on Dependable Systems Services and Technologies Dessert 2022, 2022 - Preface
Ceur Workshop Proceedings, 2022 - DNS-Based Fast-Flux Botnet Detection Approach
Sergii Lysenko, Kira Bobrovnikova, Piotr Gaj, Oleg Savenko
Communications in Computer and Information Science, 2022 - TECHNIQUE FOR IOT MALWARE DETECTION BASED ON CONTROL FLOW GRAPH ANALYSIS
Kira Bobrovnikova, Sergii Lysenko, Bohdan Savenko, Piotr Gaj, Oleg Savenko
Radioelectronic and Computer Systems, 2022 - Botnet Detection Approach Based on DNS
Ceur Workshop Proceedings, 2022 - IntelITSIS 2021 intelligent information technologies & systems of information security 2021
Ceur Workshop Proceedings, 2021 - Resilient computer systems development for cyberattacks resistance
Ceur Workshop Proceedings, 2021 - Detection DNS Tunneling Botnets
Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, George Markowsky
Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2021, 2021 - Technique for IoT cyberattacks detection based on the energy consumption analysis
Ceur Workshop Proceedings, 2021 - The Approach for IoT Malware Detection Based on Opcodes Sequences Pattern Mining
Dmytro Denysiuk, Kira Bobrovnikova, Sergii Lysenko, Oleg Savenko, Piotr Gaj, Roman Havryliuk, Yaroslav Boichuk
Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2021, 2021 - A Cyberattacks Detection Technique Based on Evolutionary Algorithms
Sergii Lysenko, Kira Bobrovnikova, Roman Shchuka, Oleg Savenko
Proceedings 2020 IEEE 11th International Conference on Dependable Systems Services and Technologies Dessert 2020, 2020 - Preface
Ceur Workshop Proceedings, 2020 - Computer Systems Resilience In The Presence Of Cyber Threats: Taxonomy And Ontology
Сергій Миколайович Лисенко, Вячеслав Сергійович Харченко, Кіра Юліївна Бобровнікова, Роман Володимирович Щука
Radioelectronic and Computer Systems, 2020 - Technique for cyberattacks detection based on DNS traffic analysis
Ceur Workshop Proceedings, 2020 - BOTNET DETECTION APPROACH BASED ON THE DISTRIBUTED SYSTEMS
International Journal of Computing, 2020 - Spyware detection technique based on reinforcement learning
Ceur Workshop Proceedings, 2020 - Detection of the botnets’ low-rate DDoS attacks based on self-similarity
Sergii Lysenko, Kira Bobrovnikova, Serhii Matiukh, Ivan Hurman, Oleg Savenko
International Journal of Electrical and Computer Engineering, 2020 - Technique for IoT cyberattacks detection based on DNS traffic analysis
Ceur Workshop Proceedings, 2020 - Risks of loss of personal data in the process of sending and printing documents
Ceur Workshop Proceedings, 2020 - Assessment of bank's financial security levels based on a comprehensive index using information technology
Ceur Workshop Proceedings, 2020 - Strategic priorities of innovation and investment development of the Ukraine's economy industrial sector
Ceur Workshop Proceedings, 2020 - Botnet detection approach for the distributed systems
Oleg Savenko, Anatoliy Sachenko, Sergii Lysenko, George Markowsky
Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2019, 2019 - SELF-ADAPTIVE METHOD FOR THE COMPUTER SYSTEMS RESILIENCE IN THE PRESENCE OF CYBERTHREADS
Сергій Миколайович Лисенко
Radioelectronic and Computer Systems, 2019 - SVM-based technique for mobile malware detection
Ceur Workshop Proceedings, 2019 - BotGRABBER: SVM-Based Self-Adaptive System for the Network Resilience Against the Botnets’ Cyberattacks
Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, Andrii Kryshchuk
Communications in Computer and Information Science, 2019 - Dynamic signature-based malware detection technique based on API call tracing
Ceur Workshop Proceedings, 2019 - A botnet detection approach based on the clonal selection algorithm
Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko
Proceedings of 2018 IEEE 9th International Conference on Dependable Systems Services and Technologies Dessert 2018, 2018 - DDoS botnet detection technique based on the use of the semi-supervised fuzzy C-means clustering
Ceur Workshop Proceedings, 2018 - The technique for metamorphic viruses' detection based on its obfuscation features analysis
Ceur Workshop Proceedings, 2018 - Self-adaptive system for the corporate area network resilience in the presence of botnet cyberattacks
Sergii Lysenko, Oleg Savenko, Kira Bobrovnikova, Andrii Kryshchuk
Communications in Computer and Information Science, 2018 - Approach for the unknown metamorphic virus detection
Oleg Savenko, Sergii Lysenko, Andrii Nicheporuk, Bohdan Savenko
Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2017, 2017 - Metamorphic viruses' detection technique based on the equivalent functional block search
Ceur Workshop Proceedings, 2017 - Information technology for botnets detection based on their behaviour in the corporate area network
Sergii Lysenko, Oleg Savenko, Kira Bobrovnikova, Andrii Kryshchuk, Bohdan Savenko
Communications in Computer and Information Science, 2017 - Metamorphic viruses detection technique based on the modified emulators
Ceur Workshop Proceedings, 2016 - Anti-evasion technique for the botnets detection based on the passive DNS monitoring and active DNS probing
Oksana Pomorova, Oleg Savenko, Sergii Lysenko, Andrii Kryshchuk, Kira Bobrovnikova
Communications in Computer and Information Science, 2016 - DNS-based anti-evasion technique for botnets detection
Sergii Lysenko, Oksana Pomorova, Oleg Savenko, Andrii Kryshchuk, Kira Bobrovnikova
Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2015, 2015 - A technique for the botnet detection based on DNS-traffic analysis
Oksana Pomorova, Oleg Savenko, Sergii Lysenko, Andrii Kryshchuk, Kira Bobrovnikova
Communications in Computer and Information Science, 2015 - A Technique for Detection of Bots Which Are Using Polymorphic Code
Oksana Pomorova, Oleg Savenko, Sergii Lysenko, Andrii Kryshchuk, Andrii Nicheporuk
Communications in Computer and Information Science, 2014 - Botnet detection technique for corporate area network
Oleg Savenko, Sergii Lysenko, Andrii Kryshchuk, Yuriy Klots
Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems Idaacs 2013, 2013 - Multi-agent Based Approach for Botnet Detection in a Corporate Area Network Using Fuzzy Logic
Oksana Pomorova, Oleg Savenko, Sergii Lysenko, Andrii Kryshchuk
Communications in Computer and Information Science, 2013 - Multi-agent based approach of botnet detection in computer systems
Oleg Savenko, Sergiy Lysenko, Andriy Kryschuk
Communications in Computer and Information Science, 2012 - The technique for computer systems Trojan diagnosis in the monitor mode
Segiy Lysenko, Oleg Savenko
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2011, 2011
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Видавництво Національного університету" Львівська політехніка" , 2012
2012
Citations: 8 - Інформаційна технологія моніторингу функціонування системи теплопостачання підвищеної надійності
ЮВ Парфененко, ВГ Неня
Восточно-Европейский журнал передовых технологий 4 (9 (46)), 22-25 , 2010
2010
Citations: 7 - Electricity Forecasting Software for Microgrid Energy Management System
Y Parfenenko, V Shendryk, Y Kholiavka, O Miroshnichenko
CEUR Workshop Proceedings 3702, 413-423 , 2024
2024
Citations: 6 - INFORMATION SUPPORT OF STAKEHOLDERS IN THE MANAGEMENT OF ENERGY SYSTEMS: DEVELOPMENT AND IMPLEMENTATION OF INTERFACES.
V Shendryk, Y Parfenenko, P Pavlenko, O Boiko, A Titariev
Eastern-European Journal of Enterprise Technologies 126 (8) , 2023
2023
Citations: 6 - Short-term Solar Power Generation Forecasting for Microgrid
V Shendryk, Y Parfenenko, Y Kholiavka, P Pavlenko, O Shendryk, ...
2022 IEEE 3rd International Conference on System Analysis & Intelligent … , 2022
2022
Citations: 6 - Decision support system for efficient energy management of hybrid power grid
S Shendryk, V Shendryk, Y Parfenenko, O Drozdenko, S Tymchuk
2021 IEEE 12th International Conference on Electronics and Information … , 2021
2021
Citations: 6
