Models of data processing and logical access segregation considering the heterogeneity of entities in information systems
The subject of the research is the process of logical access segregation to data in information systems. The aim of the article is to improve the accuracy and reliability of modeling processes for data processing and logical access segregation considering the heterogeneity of entities in informatio...
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| Format: | Article |
| Language: | English |
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Kharkiv National University of Radio Electronics
2024-06-01
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| Series: | Сучасний стан наукових досліджень та технологій в промисловості |
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| Online Access: | https://itssi-journal.com/index.php/ittsi/article/view/492 |
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| author | Сергій Семенов Сергій Енгаличев Максим Почебут Оксана Сітнікова |
| author_facet | Сергій Семенов Сергій Енгаличев Максим Почебут Оксана Сітнікова |
| author_sort | Сергій Семенов |
| collection | DOAJ |
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The subject of the research is the process of logical access segregation to data in information systems. The aim of the article is to improve the accuracy and reliability of modeling processes for data processing and logical access segregation considering the heterogeneity of entities in information systems. The tasks to be solved include: conducting a comparative analysis of modern data access distribution models, integrating simpler role-based models, synthesizing hierarchical role-based models, developing enforced typing models based on trust relationships, and presenting the main provisions of the security policy integration process. The methods used are: systems analysis, component design, logical and simulation modeling in the form of role-based access segregation models. The results obtained include: development of data processing models and logical access segregation in information systems that take into account the heterogeneity of entities and the multi-level structure of information systems. The models differ from known ones by considering the heterogeneity of entities and the multi-level structure of information systems. This has increased scalability by up to 35% due to a modular approach to defining security policies. Additionally, the developed model demonstrates 25% higher implementation practicality as it easily integrates with existing access control systems and adapts to various platforms and environments. The proposed models are effective for large information systems and distributed environments due to their modularity and ability to adapt to different operational conditions. This ensures reliable access control in systems with numerous subjects and objects. The implementation of multi-level RBAC models has improved the accuracy and reliability of results.
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| format | Article |
| id | doaj-art-703bfd3e56f54ead8bfc5bd7cf6047e0 |
| institution | Kabale University |
| issn | 2522-9818 2524-2296 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Kharkiv National University of Radio Electronics |
| record_format | Article |
| series | Сучасний стан наукових досліджень та технологій в промисловості |
| spelling | doaj-art-703bfd3e56f54ead8bfc5bd7cf6047e02025-08-20T03:33:54ZengKharkiv National University of Radio ElectronicsСучасний стан наукових досліджень та технологій в промисловості2522-98182524-22962024-06-012(28)10.30837/2522-9818.2024.28.143Models of data processing and logical access segregation considering the heterogeneity of entities in information systemsСергій Семенов0Сергій Енгаличев1Максим Почебут2Оксана Сітнікова3University of the National Education Commission, KrakowSimon Kuznets Kharkiv National University of EconomicsPrivate Institution "University of Science, Entrepreneurship and Technology"Private Institution "University of Science, Entrepreneurship and Technology" The subject of the research is the process of logical access segregation to data in information systems. The aim of the article is to improve the accuracy and reliability of modeling processes for data processing and logical access segregation considering the heterogeneity of entities in information systems. The tasks to be solved include: conducting a comparative analysis of modern data access distribution models, integrating simpler role-based models, synthesizing hierarchical role-based models, developing enforced typing models based on trust relationships, and presenting the main provisions of the security policy integration process. The methods used are: systems analysis, component design, logical and simulation modeling in the form of role-based access segregation models. The results obtained include: development of data processing models and logical access segregation in information systems that take into account the heterogeneity of entities and the multi-level structure of information systems. The models differ from known ones by considering the heterogeneity of entities and the multi-level structure of information systems. This has increased scalability by up to 35% due to a modular approach to defining security policies. Additionally, the developed model demonstrates 25% higher implementation practicality as it easily integrates with existing access control systems and adapts to various platforms and environments. The proposed models are effective for large information systems and distributed environments due to their modularity and ability to adapt to different operational conditions. This ensures reliable access control in systems with numerous subjects and objects. The implementation of multi-level RBAC models has improved the accuracy and reliability of results. https://itssi-journal.com/index.php/ittsi/article/view/492mathematical model; role-based model; data access segregation; security policies. |
| spellingShingle | Сергій Семенов Сергій Енгаличев Максим Почебут Оксана Сітнікова Models of data processing and logical access segregation considering the heterogeneity of entities in information systems Сучасний стан наукових досліджень та технологій в промисловості mathematical model; role-based model; data access segregation; security policies. |
| title | Models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| title_full | Models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| title_fullStr | Models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| title_full_unstemmed | Models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| title_short | Models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| title_sort | models of data processing and logical access segregation considering the heterogeneity of entities in information systems |
| topic | mathematical model; role-based model; data access segregation; security policies. |
| url | https://itssi-journal.com/index.php/ittsi/article/view/492 |
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