Browsing by Author "Guda, Anton I."

Now showing 1 - 5 of 5

Analysis of Monolithic and Microservice Architectures Features and Metrics
(Хмельницький національний університет, Україна, 2021) Selivorstova, Tatjana V.; Klishch, Sergey M.; Kyrychenko, Serhii; Guda, Anton I.; Ostrovskaya, Kateryna Yu.
ENG: In this paper the information technologies stack is presented. These technologies are used during network architecture deployment. The analysis of technological advantages and drawbacks under investigation for monolithic and network architectures will be useful during of cyber security analysis in telecom networks. The analysis of the main numeric characteristics was carried out with the aid of Kubectl. The results of a series of numerical experiments on the evaluation of the response speed to requests and the fault tolerance are presented. The characteristics of the of monolithic and microservice-based architectures scalability are under investigation. For the time series sets, which characterize the network server load, the value of the Hurst exponent was calculated. The research main goal is the monolithic and microservice architecture main characteristics analysis, time series data from the network server accruing, and their statistical analysis. The methodology of Kubernetes clusters deploying using Minikube, Kubectl, Docker has been used. Application deploy on AWS ECS virtual machine with monolithic architecture and on the Kubernetes cluster (AWS EKS) were conducted. The investigation results gives us the confirmation, that the microservices architecture would be more fault tolerance and flexible in comparison with the monolithic architecture. Time series fractal analysis on the server equipment load showed the presence of long-term dependency, so that we can treat the traffic implementation as a self-similar process. The scientific novelty of the article lies in the application of fractal analysis to real time series: use of the kernel in user space, kernel latency, RAM usage, caching of RAM collected over 6 months with a step of 10 seconds, establishing a long-term dependence of time series data. The practical significance of the research is methodology creation of the monolithic and microservice architectures deployment and exploitation, as well as the use of time series fractal analysis for the network equipment load exploration.
Attributes and Metrics of Trust Based Models in Cloud Security
(Publishing House "Helvetica", 2026) Bobrenok, Viacheslav V.; Guda, Anton I.
ENG: Cloud environments became a popular solution for hosting and managing infrastructure and data for businesses in different domains: cloud computing service providers’ revenue in 2018 amounted to approximately 217 billion US dollars, in 2022 - 481 billion, and the forecast for 2028 includes a profit figure of more than 1 trillion US dollars. But as organizations migrate from traditional on-premises infrastructures to cloud platforms, conventional perimeter-based security approaches have become insufficient due to the absence of clear network boundaries and the rise of remote access. It introduced a new set of security challenges. For example, in 2021, losses to companies from the leakage of confidential information amounted to an average of 3.5 million US dollars, and losses from attacks aimed at destroying or damaging IT infrastructure amounted to 4.6 million US dollars. Thus, these issues must be resolved to facilitate further adoption of cloud technologies. Trust based models might be a solution for some of these challenges as the evolution of trust models in cloud security reflects a shift from static to dynamic and adaptive mechanisms. By shifting from implicit trust to continuous verification and contextual awareness, these models provide a more robust framework for protecting sensitive information and maintaining secure access in cloud ecosystems. This work is an attempt to discover key attributes of trust based models and how they can be used to create a mechanism for securing data and workloads in cloud environments. It is achieved by conducting an extensive review of existing security threats in cloud environments as well as a systematic analysis of key characteristics of trust based models and their applicability for mitigation of these threats. As a result, this work discovers key attributes of trust based models which can be used to implement new security mechanisms for cloud environments. Such mechanisms should be better suited for handling the dynamic nature of such environments. Even though securing cloud environments remains a complex task, the attributes described in this research can be used to create new tools and methodologies which can greatly simplify it and facilitate further adoption of cloud technologies.
Development of a JFET Model with Increased Accuracy: Measurements of Wrangling Data, Acquisition and Model Analysis
(CEUR-WS Team, Aachen, Germany, 2025) Hnatushenko, Viktoriia V.; Guda, Anton I.; Zimoglyad, Andrew Yu.; Zhurba, Anna O.
ENG: Junction gate field – effect transistors have a significant role in the modern electronics. Simulation of the electronic schematics is a crucial part of the modern devices development. At the present time an existent model are used. A drawbacks of the exiting JFET models, with are commonly used during electronic schematics simulation a described. For the tasks of precision simulation the simple approximation functions and switching conditions lead to accuracy loss. A general purpose and specialized hardware and software complex was created to acquire measurement data. This measurement complex gives as possibility to acquire measurement data in automatic and semi-automatic modes. A bulk amount of data about selected JFET species was collected. According to this data a new model was proposed. This model allows us identify parameters in sequence, which significantly decreases the possibility of the identification errors. Proposed model requires more complex calculations to achieve results, and more data to conduct parametric identification. But as the result, new model provides better agreement with experimental data, especially in low-voltage regimes. New model allows us to decrease simulation error level from the 20% to 1—5%. The proposed model provides better qualitative conforming to the experimental data.
New Approach for the Step-up Converter Efficiency Increasing
(НМетАУ, Дніпро, 2021) Guda, Anton I.; Zimoglyad, Andrey Yu.
ENG: This paper is devoted to the problem of efficient power conversion technologies creation. The main article objectives are: provide a simple method for the step-up converter energy efficiency improvement, without usage of the bleeding-edge components, explore the characteristics the proposed method and schematic properties, and to establish the bounds of the applicability for the proposed solution. In this paper an another approach is proposed. In the initial state, input voltage is used for the gate driver powering. After the start-up, when output voltage become greater, than the input one, it become the source for the driver. Schottky diodes may be used as a switch between input and output schematic branches for driver powering. Experimental unit to test new approach was created. It is base on IC MC34063A, TC4420, MOSFET IRFP3205 and other components. A series of experiments was held to determine new approach properties. Comparison with classic step-up method reveals difference between approach. Experiments shows, that in the case of high load, classic schematic fails to stabilize output voltage some earlier, than proposed method. In the same conditions power efficiency may be higher up to 15 %. On the other hand, due to increasing power loss in control circuit this method has slightly lesser efficiency in the case low load.Numerical estimation of new approach properties, along with experimental results provides background for correct approach selection. Some discrepancies between theory and experiments requires further investigation. Proposed approach really provides better power efficiency in the case of high load, but using this approach on lower loads may be useless due to control power rising. Precise working range can not be determined only by calculations, experiments are required.
A Practical Approach to Malware Analysis
(НМетАУ, Дніпро, 2021) Klishch, Sergey M.; Guda, Anton I.; Mala, Yuliia; Synytsina, Yuliia
ENG: Malware analysis takes significant place at the intersection of incident response, forensics, and security monitoring, and system and network administration. The reason behind performing malware analysis is to extract information from a malware sample that can assist in responding to a malware incident. From a business perspective malware analysis is critical for saving valuable data of many organizations since the control of any IT system vulnerability in the wrong hands can have unexpected consequences. In this article we will cover general practical aspects and pre requirements needed for quick start in this area.