Факультет комп’ютерних та інформаційних технологій
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Item type:Наукова стаття, Modern Programming Technologies in the Tasks of Identification and Classification of Military Aircraft Using Machine Learning Algorithms(Lublin: Lublin University of Technology, 2024-12-16) Terletskyi, Taras; Kaidyk, OlehThis article addresses the development of an intelligent military aircraft identification system using artificial intelligence, machine learning, and deep self-learning technologies to enhance national security and military efficiency. The system aims to automatically and accurately recognize and classify aircraft in images, offering advantages over traditional methods such as higher productivity, speed, accuracy, and the elimination of human error. The importance of deep learning solutions for threat detection and operational efficiency is emphasized. Modern visual data-based object recognition methods and tools are analysed. The methodology includes collecting and preprocessing data, developing a high-precision recognition system based on Yolov8, annotating objects with Roboflow, and creating training, validation, and testing subsets in the yolo format. The paper details the dataset formation process and presents satisfactory results in fast recognition of military aircraft with high classification accuracy. A comparative analysis of Yolov8, R-CNN, and GPT-4 models shows Yolov8's superiority in prediction accuracy and performance. The article describes the model management system for adjusting hyperparameters, selecting object categories, and initiating the training and forecasting process. Testing results demonstrate Yolov8's optimality for military aircraft identification, achieving accurate target identification in complex situations using advanced deep learning algorithms.Item type:Наукова стаття, Solving operational tasks in the design of video surveillance systems(2025) Bahniuk, Natalia; Terletskyi, Taras; Kaidyk, Oleh; Kostiuchko, Serhii; Kondius, InnaThe article discusses the problem of CCTV design, which consists in the constant change of recommended criteria for equipment selection caused by the continuous and rapid evolution of technologies. The results of the analysis of existing standards are presented and discrepancies are identified. This trend leads to the destabilization of clear quality criteria and the risk of unreasonable CCTV design. The paper highlights the methods and results of research into changes in the spatial resolution of images from a range of technical characteristics of video cameras based on the relevant theory, which is implemented analytically and confirmed by computer modeling using specialized software. The results of the study, obtained by calculation and modeling, indicated a general discrepancy in the data obtained, which does not exceed the permissible limits. The data presented in the study results will help designers make an informed choice of video cameras, which will reduce the risk of excessive design.Item type:Наукова стаття, The Original Method of Controlling a Computer Using Distance Sensors(2022-02-22) Savaryn, Pavlo; Strekha, Vadym; Brych, Mykola; Brych, Lesia; Kabak, Vitalii; Polishchuk, MykolaThe article provides a brief overview of human-computer interaction methods and systems, and the research made in this area. We have designed the architecture of the system and tested a method of controlling a computer using ultrasonic distance sensors. In the course of the experiment, the following problems have been solved: obtaining and processing data from several distance sensors, data transfer to gesture recognition algorithm, uncontrolled oscillations of sensor indicators. The suggested method of controlling a computer can be used in ubiquitous computing.Item type:Наукова стаття, Multiprocessing as a Way to Optimize Queries. Advances in Transdisciplinary Engineering(2024) Khrystynets, Natalia; Melnyk, Kateryna; Lavrenchuk, Svitlana; Miskevych, Oksana; Kostiuchko, SerhiiDeveloping an effective web application involves the use of various methods and techniques to ensure fast and efficient processing of requests. Sometimes it is not possible to solve the problem of multiprocessing with a single tool, such as a programming language or framework. This work investigates the use of asynchronous methods of processing requests using queues. Job operation in background and non-background modes relative to the main web process is studied. Analytics are provided to analyze a web application with 13,000 requests to process daily. It is proposed to optimize the processing by using the Laravel framework and the Python server dual-tasking using the Supervisor tool on Linux, as well as using a task scheduler for each task. The paper presents positive findings about this algorithm, which contributes to the efficiency of web development and provides a great user experience on the website. Fast processing of web application requests can be a valuable competitive advantage for a business or organization. Research in this field helps to maintain their high competitiveness. In addition, the study of query processing speed is important in scientific research, as it contributes to the development of new algorithms, optimization methods and technologies.Item type:Наукова стаття, Information Technology of Information Security Audit of Objects of Critical Infrastructure(2022-01-19) Kozubtsov, Igor; Lishchyna, Nataliia; Yashchuk, AndriiContext. The scientific and practical task to substantiate the mathematical apparatus on the basis of which the information technology of information security audit of critical infrastructure is developed, which provides verification of compliance of critical infrastructure with the general requirements approved by the Cabinet of Ministers of Ukraine dated 2019-06-19, No.518. A security audit is one of the most effective measures to increase the level of information security of the critical infrastructure. Objective. The purpose of the work is to create information security audit of critical information infrastructure on the basis of separate partial solutions of information technology. Method. On the basis of the general requirements defined by the Resolution of the Cabinet of Ministers of Ukraine dated 2019-06-19, No.18 “On approval of the General requirements for cyber protection of critical infrastructure objects” a set of indicators and evaluation criteria was proposed. The structure of future information technology was offered. In accordance with the structure of information technology, the stages of the methodology of information security audit of critical infrastructure were built. The technique contains a simple mathematical apparatus that simplifies calculations even in Microsoft Excel spreadsheets. In this paper, in contrast to the known methods and techniques, it is proposed to take into account the weight of the importance of information security requirements. As a result, the method has become sensitive to the most critical requirements for cybersecurity of critical infrastructure. Results. Information technology of information security audit of critical information infrastructure objects has been developed. Conclusions. The experiments in Microsoft Excel spreadsheets confirm the efficiency of the proposed method. It is advisable to recommend the development of software that would in practice automate the process of information security audit of critical information infrastructure. The scientific novelty of the obtained result is that for the first time the information technology of information security audit of critical infrastructure facilities was developed, which provides verification of compliance of critical infrastructure facilities with the general requirements approved by the Cabinet of Ministers of Ukraine dated 19 June 2019, No.518. The practical significance of the work lies in the possibility of developing information technology software. Prospects for further research in this area. The presented study does not cover all aspects of this problem. Theoretical and practical results obtained in the process of scientific research are the basis for further study in such areas as the development of information technology software.Item type:Наукова стаття, Area of Interest Based Assessment of Software Interface Usability for Human-Computer Interaction Using Eye-Tracking(2022) Gordieiev, Oleksandr; Gordieieva, Daria; Kondius, Inna; Lishchyna, NataliiaNon-functional requirements to software quality (SWQ) is described in general by SWQ models characteristics. Last the most famous software quality model ISO/IEC 25010 includes eight characteristics: functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability and portability. Usability as a SWQ characteristic must include subcharacteristics, inherent to software user interface quality as static object and also as subcharacteristics of process user interaction, i.e. is user-computer interaction in real time. In existing models of quality and quality assessment of usability the peculiarities of humancomputer interaction (HCI) in real time are not taken into account in real time. Software interface usability model (SIUM) for HCI and models for its assessment are suggested. Such models are interconnected through a single nomenclature of subcharacteristics. HCI SIUM consists of two parts and includes a set of metrics, which correspond to the defined under subcharacteristics. Particularity of model is that all primitives for calculation software interface usability metrics for HCI obtained only with use of software and hardware complex of the eye-tracker.Item type:Наукова стаття, Effective Content Moderation Using Modern AI Tools(2024) Bortnyk, Kateryna; Bahniuk, Nataliia; Kondius, Inna; Melnyk, Kateryna; Melnychuk, Yuliia; Kondius, KostiantynIn the paper we develop a web application that integrates AI capabilities for content moderation, while providing an effective and balanced user protection system based on general comparative analysis of two leading tools for content moderation: Microsoft Content Moderator and Google Perspective API. Moderation mechanisms using AI algorithms have been developed, allowing not only to filter unwanted content, but also to adapt to changing conditions and user needs. We present the comparison results of two language models of Google Perspective API and Microsoft Content Moderator and appropriate tools taking into account the specific helpful, honest, harmless criteriums that is aligned with human values and include emotional tonality supported by developers.Item type:Наукова стаття, Model of formalized information security audit of an organization with a critical infrastructure facility for compliance with international security standards(CEUR-WS, 2025) Lishchyna, Nataliia; Lishchyna, Valerii; Kozubtsov, Igor; Yashchuk, AndriiThe article emphasizes the importance of conducting information security audits for information systems of critical infrastructure organizations. Effective protection is ensured by aligning security systems with international standards. The audit monitors and assesses compliance but remains effective only when performed regularly by trained specialists. Due to the routine nature of audits and wartime constraints, such as power outages and loss of communication, AI-based methods are often impractical. Therefore, the authors propose a temporary solution using formalized security assessment criteria with clear indicators for objective verification. The study develops a methodology for conducting audits aligned with international standards, addressing the lack of practical guidance in existing ones. It also analyzes global regulatory documents to identify typical management approaches and proposes an adaptable checklist-based methodology covering 10 key information security areas, particularly useful for organizations operating under wartime conditions. © 2025 Copyright for this paper by its authors.Item type:Наукова стаття, The system of dynamic optimization pricing by machine learning(Greece, 2024) Konotopchyk, Artem; Melnyk, Kateryna; Lavrenchuk, Svitlana; Khrystynets, Nataliia; Melnyk, Pavlo; Melnyk, Pavlo; Bortnyk, KaterynaBased on the real retail data collected over eight months, a number of models are developed to determine the most efficient machine learning algorithm. It is found that the KNeighbors Regressor model demonstrates the best performance for a small number of transactions, achieving a low MSE of 0.00091 and a high R2 of 0.72 in the validation set. For a large number of transactions, Random Forest Regressor and Decision Tree Regressor show the best ability to capture complex relationships and handle nonlinearties in the data, thanks to the ensemble learning technique. Whereas the Linear Regressor and Support Vector Regressor models demonstrated large deviations from the real price on the test data. The results of the study demonstrate the relevance of rtificial intelligence algorithms in dynamic pricing trategies, showing the ability to quickly process huge amounts of data, taking into account numerous factors and changes in market demand.Item type:Наукова стаття, Threats detection and analysis based on SYSMON tool(2023) Bahniuk, Nataliia; Linchuk, Oleksandr; Bortnyk, Kateryna; Kondius, Inna; Melnyk, Kateryna; Kondiu, KostiantynIn this work, an nalysis for the study of threats in a real environment with the possibility of conducting a fullfledged analysis of threats, as well as their simulationhas been developed for research purposes. Designed laboratory was built for the threats research, specification of deploying and configuring Sysmon, imitation of an attack in laboratory conditions and its investigation by implicit signs, the processesing of threat analysis using the Sysmon tool. We present a system based on the analysis of continuous input chan-nels of Sysmon logs. The system is based on the Cyber Threat Analysis Ontology and analyzes SYSMON logs to classify software according to different threat levels and enhance cyber defense capabilities with situational awareness, prediction and auto-mated actions. The developed laboratory improves the effectiveness of threat analysis using the Sysmon tool, makes study of threats, deploying and configuring Sysmon, imitation of an attack in laboratory conditions and its investigation by implicit signs. It can be applied for the study of threats in a real environment with the possibility of conducting a full-fledged analysis of threats, as well as their simulation for research purposes.