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Solving operational tasks in the design of video surveillance systems
(2025) Bahniuk, Natalia; Terletskyi, Taras; Kaidyk, Oleh; Kostiuchko, Serhii; Kondius, Inna
The 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.
Area of Interest Based Assessment of Software Interface Usability for Human-Computer Interaction Using Eye-Tracking
(2022) Gordieiev, Oleksandr; Gordieieva, Daria; Kondius, Inna; Lishchyna, Nataliia
Non-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.
Effective Content Moderation Using Modern AI Tools
(2024) Bortnyk, Kateryna; Bahniuk, Nataliia; Kondius, Inna; Melnyk, Kateryna; Melnychuk, Yuliia; Kondius, Kostiantyn
In 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.
Threats detection and analysis based on SYSMON tool
(2023) Bahniuk, Nataliia; Linchuk, Oleksandr; Bortnyk, Kateryna; Kondius, Inna; Melnyk, Kateryna; Kondiu, Kostiantyn
In 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.
Development of network traffic monitoring system elements using Deep Learning
(Piscataway, NJ: IEEE, 2024) Melnyk, Vasyl; Bahniuk, Nataliia; Bortnyk, Kateryna; Kondius, Inna; Zubovetska, Nataliia; Kondius, Kostiantyn
In this article we develop a network traffic monitoring system elements using deep learning that demonstrates the high effectiveness of deep learning in detecting and analyzing network traffic, which contributes to ensuring the security and stability of corporate networks. In this context we develop algorithms for detecting and countering potential threats in network traffic, providing deeper analysis and effective response to cyber threats

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