Oleksandr Muliarevych

@lpnu.ua

Associate Professor at Computer Engineering Department, Institute of Computer Technologies, Automation and Metrology
Lviv Polytechnic National University

Oleksandr Muliarevych


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https://researchid.co/mvalexen
His research interests include distributed highly scalable microservice systems, swarm intelligence, IoT, cloud computing, parallel computing technologies, computer vision, machine learning and multi-agent systems applications.

EDUCATION

Received the B.S. and M.S. degrees in computer engineering from the Lviv Polytechnic National University, in 2012 and the Ph.D. degree in computer systems and components from Lviv Polytechnic National University, Ukraine, in 2016.
From 2014 till 2018, he was a Teaching Assistant at the Computer Engineering Department at the Lviv Polytechnic National University. Since 2019, he has been an Assistant Professor at the Computer Engineering Department at the Lviv Polytechnic.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Multidisciplinary, Computer Networks and Communications
12

Scopus Publications

135

Scholar Citations

7

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Blockchain technologies and their application in security software development
    Serhii Zybin, Oleg Kubrak, Petar Halachev, Yaroslav Kravchuk, Oleksandr Muliarevych
    Sustainable Engineering and Innovation, 2025
    Current factors like the rising frequency of cyber threats and vulnerabilities on centralized platforms indicate the inefficiency of conventional network security frameworks, leading to new solutions such as the blockchain. This review systematically reviews developments of blockchain technologies in the context of security software (2021-2023) to evaluate its efficacy and challenges and explore the future potential. 77 peer-reviewed papers from ScienceDirect, IEEE Xplore and Scopus; adopting the PRISMA guideline, records were screened down from 1,532 to 77. Empirical evaluations (35%), case studies (28%), and theoretical frameworks (37%) using Joanna Briggs Institute tools and the Newcastle-Ottawa Scale were used in mitigating bias. Our results show that blockchain has strengths that add to data integrity (89% of studies) and security of the Internet of Things (IoT) ecosystem (28 studies) and supply chains (15 studies). Nevertheless, blockchain-based authentication has reduced latency by 284% (342 ± 112 ms) compared to a traditional system and has tradeoffs with scalability and performance. Research is skewed towards finance (47%), missing healthcare (9%), and critical infrastructure (6%). It does not include sufficient interoperability standards, post-quantum cryptographic validation, etc. The adaptive regulations are urged for policy implications for editable blockchains and hybrid Artificial Intelligence (AI) blockchain architectures. Interoperability should be taken care of by cross-chain protocols, scalability trilemmas and real-world adversarial testing must be addressed by the researchers and practitioners must put priority on scalability. This review, in its totality, brings out the singular role of blockchain in complementing the existing security solutions instead of replacing them. It calls for cross-disciplinary involvement and partnership in harnessing technical innovation in a regulatory framework to tackle cybersecurity threats through outsider and insider security approaches.
  • THE ROLE OF VIRTUAL REALITY IN IMPROVING SOFTWARE TESTING METHODS AND TOOLS
    Journal of Theoretical and Applied Information Technology, 2024
  • Mitigating Input Prompt Attack Vulnerabilities in Systems with a Language Model Interface
    Oleksandr Muliarevych
    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
    The article is devoted to the study of the cybersecurity vulnerabilities in systems utilizing Language Model Interfaces, particularly focusing on the challenges and solutions in constructing secure systems. The paper includes an overview of the current Language Model Interface and issues with their utilization in typical systems, and because of the conducted analysis, proposes a multi-level structural schema of cybersecurity frameworks and standards, that could be applied to cover the different types of risks. The suggested prompt analysis and injection detection sub-system design, in which evaluates whether the input is relevant and appropriate from the security point of view. The additional Filter cybersecurity level integrated into the system with the Language Model Interface allows protection from prompt injection attacks during the pre-processing of user requests and post-processing of responses. The Filter level consists mainly of a Prompt Analyzer, which wraps pre-processed input prompt; an Attack Validator module using a helper Large Language Model, which classifies if the prompt is risky or safe; Elasticsearch cluster for logging and monitoring purposes. During testing different types of prompt injection attacks were evaluated in different types of system setups: core GPT-3 and GPT-4 models without additional security layer; Fuzzy Search with attacking prompt pattern vocabulary; a system with Attack Validator in two modes - based on GPT-3 model and GPT-4 model. The article shows the relative strengths and weaknesses of each approach, contributing valuable insights into the development of more secure systems with Language Model Interface.
  • Enhancing System Security: LLM-Driven Defense Against Prompt Injection Vulnerabilities
    Oleksandr Muliarevych
    Conference Proceedings 2024 IEEE 17th International Conference on Advanced Trends in Radioelectronics Telecommunications and Computer Engineering Tcset 2024, 2024
    This article examines cybersecurity vulnerabilities in systems utilizing Language Model Interfaces, focusing on the challenges of building secure systems. It provides an overview of current interfaces and their associated risks. A key contribution is the design of a prompt analysis and injection detection subsystem, which assesses input relevance and security. The integration of an additional Filter level in the system safeguards against prompt injection attacks by pre-processing user requests and post-processing responses. This level includes a Prompt Analyzer for input wrapping, and an Attack Validator module using the LLM to classify prompts. The study evaluates various prompt injection attacks across different system setups, including core GPT -3 and GPT-4 models without additional security layers, a Fuzzy Search method, and systems using an Attack Validator based on GPT-3 and GPT -4 models.
  • Optimizing Inter-Service Communication in Latency-Sensitive Distributed Systems
    Eduard Maltsev, Oleksandr Muliarevych
    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
    This research investigates the impact of compression and serialization strategies on latency in message-broker-based distributed systems, focusing on the interplay between these strategies and varying message sizes. Utilizing a custom-designed test communication architecture within a controlled Google Cloud environment, we evaluate various compression utils, including Kafka's built-in mechanisms and external libraries, paired with serialization formats (Avro, Json) for small, medium, and large messages. Our findings demonstrate significant latency reductions compared to uncompressed Json: up to 74% for small messages using Snappy compression with Avro serialization and up to 63% for larger messages using Kafka-native Zstd compression. This research not only addresses a gap in the existing literature regarding message broker-specific optimizations but also provides a foundation for future work exploring the impact of other factors on latency in this widely used distributed messaging platform.
  • The Cloud-Based Optimization for Automated Warehouse Design
    Oleksandr Muliarevych
    Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023
    The paper delves into the process of warehouse design and the methodologies applicable for creating an automated warehouse design system. Focusing on the calculation of entry and shipment zones, this study highlights the challenges faced in seeking optimal design solutions, given the numerous combinations generated from input data, parameters, and constraints. The presented a two-phase design approach, which forms the basis of demonstrating automated warehouse design system. This system incorporates cutting-edge cloud technology advancements, such as predictive modeling and serverless computing, to enhance performance. The article compares the performance of various cloud computing architectures, including monolithic, horizontally auto-scalable microservices, the suggested approach grounded in lightweight context-based functional processing.
  • Ant Colony Optimization for Resource Allocation in Cloud Computing Environments
    Taras Kniazhyk, Oleksandr Muliarevych
    Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023
    This article delves into cloud computing technologies, addressing the challenges and concerns that arise in this domain, specifically focusing on resource allocation. We investigate and compare three optimization algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA)—in the context of their applications, objectives, and mechanisms of action. Additionally, the article highlights the significance of each algorithm in optimizing cloud resources and discusses their advantages and drawbacks. For cloud computing with higher complexity, it becomes increasingly important to develop efficient strategies for managing and allocating resources, which in turn helps organizations control costs and improve performance. Prepared comparative analysis aims to provide a comprehensive understanding of the three algorithms, equipping decision-makers with the knowledge to select the most suitable optimization method for their specific cloud computing needs and challenges.
  • Comparison of Hardware Complexity of Multipliers GF(pm)
    Ivan Zholubak, Valeriy Hlukhov, Oleksandr Muliarevych
    Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023
    The article discusses the use of Galois field (GF) multipliers for cryptographic data protection based on elliptical curves. It recommends using extended Galois fields with characteristics <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{d} &gt; 2$</tex> for digital signatures. The article proposes a criterion for determining the best field to use for data protection. It also describes methods for creating cryptoprocessors cores, including a VHDL generator for extended Galois field multipliers. However, generating field multipliers with large characteristics can be time-consuming. To improve efficiency, the article suggests simplifying the design and minimizing logic gates in an FPGA. The article determines the best fields for data protection based on the selected criterion and a certain algorithm.
  • Digital Learning Hubs as a Component of the Information and Digital Learning Environment
    Oleksandr Muliarevych, Volodymyr Saienko, Antonina Hurbanska, Barbara Nowak, Oleksandr Marushchak
    Journal of Curriculum and Teaching, 2023
    The article aims to analyse digital education in terms of modern information and the digital learning environment. Based on the use of such theoretical pedagogical research methods as system analysis, concretisation comparativistic approach the study is investigated. The results demonstrate the functioning of educational hubs as a sociocultural phenomenon in modern educational policy, the modern experience of using digital hubs in education, particularly, the experience of CISCO and other influential players, the possibility of forming digital learning hubs based on libraries of higher education institutions. It is shown that important directions for further research are the coverage of the development of technologies and the impact of this process on the evolution of educational environments in the future. In conclusion, it was noted that the use of educational digital hubs contributes to the decentralisation of the educational system. The effectiveness of the use of regular test competitions are noted, which contributes to the formation of a competitive environment.
  • The Serverless Computing for Acceptance and Shipping Warehouse Zones Optimization
    Ceur Workshop Proceedings, 2022
  • Acceptance and shipping warehouse zones calculation using serverless approach
    Oleksandr Muliarevych
    Proceedings of the 2022 IEEE 12th International Conference on Dependable Systems Services and Technologies Dessert 2022, 2022
  • Solving dynamic assymetrical Travelling Salesman Problem in conditions of partly unknown data
    Oleksandr Muliarevych
    Modern Problems of Radio Engineering Telecommunications and Computer Science Proceedings of the 13th International Conference on Tcset 2016, 2016

RECENT SCHOLAR PUBLICATIONS

  • ОПТИМІЗАЦІЯ КОМУНІКАЦІЇ У ВИСОКОНАВАНТАЖЕНИХ СИСТЕМАХ МЕТОДОМ FLAGBAG
    ЕЄ Мальцев, ОВ Муляревич
    2025
  • Evaluation of efficiency and performance of serialization formats for distributed systems
    EE Maltsev, OV Muliarevych
    Computer systems and network 6 (2), 141-157 , 2024
    2024
    Citations: 3
  • Performance Evaluation and Optimization of Yolov8 Neural Network Models for Target Recognition
    BS Tsiunyk, OV Muliarevych
    Komp’ûternì sistemi ta merežì 6 (2), 242-251 , 2024
    2024
    Citations: 1
  • Optimizing Inter-Service Communication in Latency-Sensitive Distributed Systems
    E Maltsev, O Muliarevych
    2024 14th International Conference on Dependable Systems, Services and … , 2024
    2024
  • Mitigating input prompt attack vulnerabilities in systems with a language model interface
    O Muliarevych
    2024 14th International Conference on Dependable Systems, Services and … , 2024
    2024
    Citations: 3
  • Enhancing system security: LLM-driven defense against prompt injection vulnerabilities
    O Muliarevych
    2024 IEEE 17th International Conference on Advanced Trends in … , 2024
    2024
    Citations: 15
  • Beyond json: Evaluating serialization formats for space-efficient communication
    E Maltsev, O Muliarevych
    Advances in Cyber-Physical Systems 9 (1), 9-15 , 2024
    2024
    Citations: 20
  • METHODS AND MEANS OF TRAFFIC FLOW CONTROL
    A DANYLIUK, O MULIAREVYCH
    КІБЕРБЕЗПЕКА: ОСВІТА, НАУКА, ТЕХНІКА Учредители: Киевский университет им … , 2024
    2024
  • ОЦІНКА ПРОДУКТИВНОСТІ ТА ОПТИМІЗАЦІЯ МОДЕЛЕЙ НЕЙРОННИХ МЕРЕЖ YOLOv8 ДЛЯ РОЗПІЗНАВАННЯ ЦІЛЕЙ
    БС Цюник, ОВ Муляревич
    2024
  • ОЦІНКА ЕФЕКТИВНОСТІ ТА ПРОДУКТИВНОСТІ ФОРМАТІВ СЕРІАЛІЗАЦІЇ ДЛЯ РОЗПОДІЛЕНИХ СИСТЕМ
    ЕЄ Мальцев, ОВ Муляревич
    2024
    Citations: 1
  • Classifying serialization formats for inter-service communication in distributed systems
    E Maltsev, O Muliarevych, A Razzaque
    Advances in Cyber-Physical Systems 9 (2), 175-180 , 2024
    2024
    Citations: 2
  • Ant colony algorithm in traffic flow control
    A Danyliuk, O Muliarevych
    Advances in Cyber-Physical Systems 9 (2), 158-163 , 2024
    2024
    Citations: 3
  • PERFORMANCE ANALYSIS OF DIFFERENT TYPES OF NN MODELS FOR TARGET RECOGNITION
    B Tsiunyk, O Muliarevych
    ADVANCES IN CYBER-PHYSICAL SYSTEMS Учредители: Lviv Polytechnic National … , 2024
    2024
  • Features of the application of traffic flow management methods and tools
    A Danyliuk, O Muliarevych
    Advances in Cyber‑Physical Systems 9 (1), 68-74 , 2024
    2024
    Citations: 1
  • Ant Colony Optimization for Resource Allocation in Cloud Computing Environments
    T Kniazhyk, O Muliarevych
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 6
  • The Cloud-Based Optimization for Automated Warehouse Design
    O Muliarevych
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 7
  • Comparison of Hardware Complexity of Multipliers
    I Zholubak, V Hlukhov, O Muliarevych
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 1
  • Digital learning hubs as a component of the information and digital learning environment
    O Marushchak, O Muliarevych, V Saienko, A Hurbanska, B Nowak
    2023
    Citations: 24
  • Cloud computing with resource allocation based on ant colony optimization
    T Kniazhyk, O Muliarevych
    Advances in cyber-physical systems, 104-110 , 2023
    2023
    Citations: 7
  • Acceptance and shipping warehouse zones calculation using serverless approach
    O Muliarevych
    2022 12th International Conference on Dependable Systems, Services and … , 2022
    2022
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Digital learning hubs as a component of the information and digital learning environment
    O Marushchak, O Muliarevych, V Saienko, A Hurbanska, B Nowak
    2023
    Citations: 24
  • Beyond json: Evaluating serialization formats for space-efficient communication
    E Maltsev, O Muliarevych
    Advances in Cyber-Physical Systems 9 (1), 9-15 , 2024
    2024
    Citations: 20
  • Enhancing system security: LLM-driven defense against prompt injection vulnerabilities
    O Muliarevych
    2024 IEEE 17th International Conference on Advanced Trends in … , 2024
    2024
    Citations: 15
  • Solving dynamic assymetrical Travelling Salesman Problem in conditions of partly unknown data
    O Muliarevych
    2016 13th International Conference on Modern Problems of Radio Engineering … , 2016
    2016
    Citations: 8
  • The Cloud-Based Optimization for Automated Warehouse Design
    O Muliarevych
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 7
  • Cloud computing with resource allocation based on ant colony optimization
    T Kniazhyk, O Muliarevych
    Advances in cyber-physical systems, 104-110 , 2023
    2023
    Citations: 7
  • New approaches for solving travelling salesman problems using agents swarm intelligence behavior model
    O Muliarevych, V Golembo
    WSPÓŁPRACA EUROPEJSKA , 2015
    2015
    Citations: 7
  • Ant Colony Optimization for Resource Allocation in Cloud Computing Environments
    T Kniazhyk, O Muliarevych
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 6
  • Acceptance and shipping warehouse zones calculation using serverless approach
    O Muliarevych
    2022 12th International Conference on Dependable Systems, Services and … , 2022
    2022
    Citations: 6
  • Модифікація методу мурашиної колонії для розв’язання задачі комівояжера колективом автономних агентів
    ВА Голембо, ОВ Муляревич
    Вісник Національного університету “Львівська політехніка, 24-30 , 2011
    2011
    Citations: 6
  • The Serverless Computing for Acceptance and Shipping Warehouse Zones Optimization.
    O Muliarevych
    IT&I Workshops, 87-96 , 2022
    2022
    Citations: 5
  • Evaluation of efficiency and performance of serialization formats for distributed systems
    EE Maltsev, OV Muliarevych
    Computer systems and network 6 (2), 141-157 , 2024
    2024
    Citations: 3
  • Mitigating input prompt attack vulnerabilities in systems with a language model interface
    O Muliarevych
    2024 14th International Conference on Dependable Systems, Services and … , 2024
    2024
    Citations: 3
  • Ant colony algorithm in traffic flow control
    A Danyliuk, O Muliarevych
    Advances in Cyber-Physical Systems 9 (2), 158-163 , 2024
    2024
    Citations: 3
  • Software System for Motion Detection and Tracking
    B Tsiunyk, O Muliarevych
    Advances in cyber-physical systems, 156-162 , 2022
    2022
    Citations: 3
  • Modification of ant colony method for TSP solving by collective of autonomous agents
    V Golembo, O Muliarevych
    Computer systems and networks, Lviv Polytechnic National University Press, 24-30 , 2011
    2011
    Citations: 3
  • Classifying serialization formats for inter-service communication in distributed systems
    E Maltsev, O Muliarevych, A Razzaque
    Advances in Cyber-Physical Systems 9 (2), 175-180 , 2024
    2024
    Citations: 2
  • Імплементація методів локальної оптимізації у комп’ютерній системі для розв’язання динамічної задачі комівояжера з використанням моделі ройової поведінки агентів
    О Муляревич, В Голембо
    Вісник Національного університету Львівська політехніка. Комп’ютерні науки … , 2013
    2013
    Citations: 2
  • Performance Evaluation and Optimization of Yolov8 Neural Network Models for Target Recognition
    BS Tsiunyk, OV Muliarevych
    Komp’ûternì sistemi ta merežì 6 (2), 242-251 , 2024
    2024
    Citations: 1
  • ОЦІНКА ЕФЕКТИВНОСТІ ТА ПРОДУКТИВНОСТІ ФОРМАТІВ СЕРІАЛІЗАЦІЇ ДЛЯ РОЗПОДІЛЕНИХ СИСТЕМ
    ЕЄ Мальцев, ОВ Муляревич
    2024
    Citations: 1