Cyber Security Risk Modeling in Distributed Information Systems
This paper deals with problems of the development and security of distributed information systems. It explores the challenges of risk modeling in such systems and suggests a risk-modeling approach that is responsive to the requirements of complex, distributed, and large-scale systems. This article p...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/4/2393 |
| _version_ | 1797622540145786880 |
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| author | Dmytro Palko Tetiana Babenko Andrii Bigdan Nikolay Kiktev Taras Hutsol Maciej Kuboń Hryhorii Hnatiienko Sylwester Tabor Oleg Gorbovy Andrzej Borusiewicz |
| author_facet | Dmytro Palko Tetiana Babenko Andrii Bigdan Nikolay Kiktev Taras Hutsol Maciej Kuboń Hryhorii Hnatiienko Sylwester Tabor Oleg Gorbovy Andrzej Borusiewicz |
| author_sort | Dmytro Palko |
| collection | DOAJ |
| description | This paper deals with problems of the development and security of distributed information systems. It explores the challenges of risk modeling in such systems and suggests a risk-modeling approach that is responsive to the requirements of complex, distributed, and large-scale systems. This article provides aggregate information on various risk assessment methodologies; such as quantitative, qualitative, and hybrid methods; a comparison of their advantages and disadvantages; as well as an analysis of the possibility of application in distributed information systems. It also presents research on a comprehensive, dynamic, and multilevel approach to cyber risk assessment and modeling in distributed information systems based on security metrics and techniques for their calculation, which provides sufficient accuracy and reliability of risk assessment and demonstrates an ability to solve problems of intelligent classification and risk assessment modeling for large arrays of distributed data. The paper considers the main issues and recommendations for using risk assessment techniques based on the suggested approach. |
| first_indexed | 2024-03-11T09:11:45Z |
| format | Article |
| id | doaj.art-2b105902441a4f5696a50780a8673756 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:11:45Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2b105902441a4f5696a50780a86737562023-11-16T18:55:07ZengMDPI AGApplied Sciences2076-34172023-02-01134239310.3390/app13042393Cyber Security Risk Modeling in Distributed Information SystemsDmytro Palko0Tetiana Babenko1Andrii Bigdan2Nikolay Kiktev3Taras Hutsol4Maciej Kuboń5Hryhorii Hnatiienko6Sylwester Tabor7Oleg Gorbovy8Andrzej Borusiewicz9Department of Cybersecurity and Information Protection, Taras Shevchenko National University of Kyiv, 01-601 Kyiv, UkraineDepartment of Cybersecurity and Information Protection, Taras Shevchenko National University of Kyiv, 01-601 Kyiv, UkraineDepartment of Cybersecurity and Information Protection, Taras Shevchenko National University of Kyiv, 01-601 Kyiv, UkraineDepartment of Intelligent Technologies, Taras Shevchenko National University of Kyiv, 01-601 Kyiv, UkraineDepartment of Mechanics and Agroecosystems Engineering, Polissia National University, 10-008 Zhytomyr, UkraineDepartment of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, 30-149 Krakow, PolandDepartment of Intelligent Technologies, Taras Shevchenko National University of Kyiv, 01-601 Kyiv, UkraineDepartment of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, 30-149 Krakow, PolandDepartment of Energy Saving Tehnologies and Energy Menagement, Educational and Scientific Institute of Energy, Higher Educational Institution “Podillia State University”, 32-316 Kamianets-Podilskyi, UkraineDepartment of Agronomy, Modern Technologies and Informatics, International University of Applied Sciences in Lomza, 18-402 Lomza, PolandThis paper deals with problems of the development and security of distributed information systems. It explores the challenges of risk modeling in such systems and suggests a risk-modeling approach that is responsive to the requirements of complex, distributed, and large-scale systems. This article provides aggregate information on various risk assessment methodologies; such as quantitative, qualitative, and hybrid methods; a comparison of their advantages and disadvantages; as well as an analysis of the possibility of application in distributed information systems. It also presents research on a comprehensive, dynamic, and multilevel approach to cyber risk assessment and modeling in distributed information systems based on security metrics and techniques for their calculation, which provides sufficient accuracy and reliability of risk assessment and demonstrates an ability to solve problems of intelligent classification and risk assessment modeling for large arrays of distributed data. The paper considers the main issues and recommendations for using risk assessment techniques based on the suggested approach.https://www.mdpi.com/2076-3417/13/4/2393information security riskdistributed information systemsrisk modelingrisk assessmentintelligent risk assessment modelsinformation system metadata and metrics |
| spellingShingle | Dmytro Palko Tetiana Babenko Andrii Bigdan Nikolay Kiktev Taras Hutsol Maciej Kuboń Hryhorii Hnatiienko Sylwester Tabor Oleg Gorbovy Andrzej Borusiewicz Cyber Security Risk Modeling in Distributed Information Systems Applied Sciences information security risk distributed information systems risk modeling risk assessment intelligent risk assessment models information system metadata and metrics |
| title | Cyber Security Risk Modeling in Distributed Information Systems |
| title_full | Cyber Security Risk Modeling in Distributed Information Systems |
| title_fullStr | Cyber Security Risk Modeling in Distributed Information Systems |
| title_full_unstemmed | Cyber Security Risk Modeling in Distributed Information Systems |
| title_short | Cyber Security Risk Modeling in Distributed Information Systems |
| title_sort | cyber security risk modeling in distributed information systems |
| topic | information security risk distributed information systems risk modeling risk assessment intelligent risk assessment models information system metadata and metrics |
| url | https://www.mdpi.com/2076-3417/13/4/2393 |
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