Risk analysis and cybersecurity enhancement of Digital Twins in dairy production

Simple item page
dc.contributor.authorSavchenko, Tetiana en_US
dc.contributor.authorLutska, Nataliia en_US
dc.contributor.authorVlasenko, Lidiia en_US
dc.contributor.authorSashnova, Mariana en_US
dc.contributor.authorZahorulko, Andrii en_US
dc.contributor.authorMinenko, Sofiia en_US
dc.contributor.authorIbaiev, Eldar en_US
dc.contributor.authorTytarenko, Nataliia en_US
dc.date.accessioned2025-11-05T09:47:00Z
dc.date.available2025-11-05T09:47:00Z
dc.date.issued2025
dc.description.abstractThe object of research is technological and technical processes that affect the effectiveness of developing a system with Digital Twins and ensuring cyber security using the example of the dairy industry. The work is aimed at solving the problems in the sector of a comprehensive system for monitoring production processes with the possibility of early detection of deviations and potential threats. This, in turn, can lead to a decrease in product quality and an increase in cyber security risks. During the implementation of the research, a Digital Twins of the main technological areas was developed using the example of a dairy enterprise, namely: receiving, apparatus and dietary departments. This approach provides for the collection and analysis of data on production parameters (pasteurization temperature, level in tanks, etc.), and also integrates the results of laboratory control. It was found that technological risks have the greatest impact on the effectiveness of the functioning of production processes, and security risks directly account for 35 % of the total threat structure. This is partly due to one of the main problems in the sector of insufficient data protection and possible external interference, including during cyber attacks. In addition, the analysis identified three risk groups (a total of 13 factors), which further allowed to determine their impact on the efficiency of production as a whole. This, in turn, allowed to draw a preliminary conclusion that the use of cybersecurity risk management strategies reduces the likelihood of technical failures and information threats at an industrial enterprise. The results of modeling Digital Twins of the main technological areas using the example of a dairy enterprise showed that the implementation of strategies from the security risk group increases the efficiency of the project by 4 %. The results obtained can be used to increase the level of cybersecurity and monitor production processes in the dairy industry and other agro-industrial sectors. The developed Digital Twins can be integrated into quality and safety management systems for food production, in particular, for enterprises operating in conditions of increased risks of cyber threats. en_US
dc.identifier.citationRisk analysis and cybersecurity enhancement of Digital Twins in dairy production / Tetiana Savchenko, Nataliia Lutska, Lidiia Vlasenko, Mariana Sashnova, Andrii Zahorulko, Sofiia Minenko, Eldar Ibaiev, Nataliia Tytarenko // Technology audit and production reserves. - 2025. - Vol. 2, No. 2. - P. 37-49. - https://doi.org/10.15587/2706-5448.2025.325422 en_US
dc.identifier.issn2664-9969
dc.identifier.issn2706-5448
dc.identifier.urihttps://doi.org/10.15587/2706-5448.2025.325422
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/37388
dc.language.isoen en_US
dc.relation.sourceTechnology audit and production reserves en_US
dc.statusfirst published en_US
dc.subjectDigital Twins en_US
dc.subjectindustrial Internet of Things en_US
dc.subjectmonitoring en_US
dc.subjectcontrol and threat modeling en_US
dc.subjecttechnological risks en_US
dc.subjectfood industry en_US
dc.subjectinformation systems security en_US
dc.subjectarticle en_US
dc.titleRisk analysis and cybersecurity enhancement of Digital Twins in dairy production en_US
dc.typeArticle en_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Risk_analysis_and_cybersecurity_enhancement_of_Digital_Twins_in_dairy_production.pdf
Size:
2.54 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Кафедра інформатики