Cyber Security Risk Modeling in Distributed Information Systems
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| Title: | Cyber Security Risk Modeling in Distributed Information Systems |
|---|---|
| Authors: | Dmytro Palko, Tetiana Babenko, Andrii Bigdan, Nikolay Kiktev, Taras Hutsol, Maciej Kuboń, Hryhorii Hnatiienko, Sylwester Tabor, Oleg Gorbovy, Andrzej Borusiewicz |
| Source: | Applied Sciences, Vol 13, Iss 4, p 2393 (2023) |
| Publisher Information: | MDPI AG |
| Publication Year: | 2023 |
| Collection: | Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: | information security risk, distributed information systems, risk modeling, risk assessment, intelligent risk assessment models, information system metadata and metrics, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| 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. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://www.mdpi.com/2076-3417/13/4/2393; https://doaj.org/toc/2076-3417; https://doaj.org/article/2b105902441a4f5696a50780a8673756 |
| DOI: | 10.3390/app13042393 |
| Availability: | https://doi.org/10.3390/app13042393 https://doaj.org/article/2b105902441a4f5696a50780a8673756 |
| Accession Number: | edsbas.5A9DC06E |
| Database: | BASE |
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