Valentina V. Timcenko

DIGITALIZATION AND CYBERSECURITY ISSUES OF RENEWABLE ENERGY SOURCES INFRASTRUCTURE

Univerzitet u Beogradu Institut Mihajlo Pupin, Slavica Boštjančič Rakas, Valentina V. Timcenko

Digitalization represents a cornerstone of modern renewable energy infrastructure development. However, cybersecurity challenges have emerged, alongside, posing substantial risks to the integrity of these systems. The digital integration exposes renewable energy infrastructure to various cyberattacks. As renewable energy sources become increasingly central …

The Concept of Intelligent Digital Transformation in V2X Environment

Valentina V. Timcenko, Slavica V. Boštjančič Rakas

This paper comprehensively perceives the concept of Vehicular-to-Everything (V2X) environment in the context of the digital transformation. Since it targets the intelligent transportation systems, as the basis for the development of the V2E, we have considered the digital transformation integration from the …

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Attack Identification and Classification in V2X Scenarios

Valentina V. Timcenko, Slavica V. Boštjančič Rakas, Sandra Lagén Morancho, Biljana Bojović et autres

The latest technological advancements in the area of vehicular wireless communications have enabled smooth, timely and location independent communication and exchange of information between vehicles and other vehicular communication elements, such as position and speed of the vehicle, traffic information, alarms, etc. …

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Explaining Wikipedia Page Similarity Using Network Science

João Tiago Aparício, Valentina V. Timcenko, Carlos José de Castro Costa

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Vehicle-to-Everything: Cybersecurity and Quality of Service Challenges

Valentina V. Timcenko, Slavica V. Boštjančič Rakas

This paper is focused to the emerging technological development in the area of the advanced vehicular communication systems. It considers the most up to date Vehicular to Everything technologies and discusses the typical scenarios related to the communication between vehicles, between vehicles …

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Digitalization in Power Energy Sector: Principles of Cybersecurity

Valentina V. Timcenko, Slavica V. Boštjančič Rakas, Milenko Kabović, Anka V. Kabovic

This paper deals with the digitalization of the power energy system, with the introduction of future internet technologies, such as Internet of Things, cloud and fog computing. We have also presented an overview of cybersecurity issues in such environment, with special reference …

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Performance Comparison of hardware RAID5 and RAID5+0 configurations under Linux environment

Borislav Djordjević, Valentina V. Timcenko, Nenad Kraljević, Aleksandar Popić et autres

This paper presents a comparative performance analysis of RAID5 configurations and RAID5+0 configurations compared to the performance of a single disk. The measurements were performed on a Dell PowerEdge R515 server featuring an integrated PERC H7000 hardware controller. Since this server does …

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Comparison of VMware Workstation, VirtualBox and MS Hyper-V hypervisor performance with MS Windows OS based guests

Borislav Djordjević, Valentina V. Timcenko, Nenad Kraljević, Iva Jovičić et autres

This paper presents a performance comparison of the Type-2 hypervisor, using the VMware Workstation player, then the VirtualBox platform, and finally MS Hyper-V, as the virtualization role in Windows 10 Pro environment. The tests were performed under the same conditions and the …

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BEZBEDNOSNI ASPEKTI TELEZAŠTITNIH UREĐAJA U OKVIRU RADA PO STANDARDU IEC 61850

Milenko Kabović, Anka V. Kabovic, Slavica V. Boštjančič Rakas, Valentina V. Timcenko et autres

This paper discusses the security of IEC 61850-based teleprotection devices with GOOSE protocol for the transmission of protection commands. The architecture of the central processor unit of the teleprotection device is presented and a brief overview of the IEC 61850 standard as …

Hybrid Machine Learning Traffic Flows Analysis for Network Attacks Detection

Valentina V. Timcenko, Slavko Gajin

This research focuses on network behavior analysis and provides a comprehensive flow-based anomaly detection proposal, which is based on combined machine learning and entropy-based anomaly detection techniques. The entropy-based analysis can capture the behavior of the biggest contributors, and of a large …

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The influence of the input parameters variation of the non-seasonal ARIMAX model on the accuracy of meteorological parameters forecasting

Anka V. Kabovic, Milenko Kabović, Slavica V. Boštjančič Rakas, Valentina V. Timcenko

ARIMA (autoregressive integrated moving-average), one of the most popular models for time-series modeling, is recently frequently used for the needs of events forecasting and prediction in business, medicine, meteorology and engineering domains. In this paper, we present the results of testing the …

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File system performance comparison in the case of Docker container-based virtualization with Volumes and Bind mounts

Borislav Đorđević, Aleksandar Stefanovic, Valentina V. Timcenko

The goal of this paper is to compare the file system performance of physical operating system and Docker as container-based virtualization using its mechanism for persisting data with Volumes and Bind mounts. The importance of virtualization and its popularity with container-based virtualization …

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