| Autor: |
Poltavtseva, M. A., Ivanov, D. V., Zavadskii, E. V. |
| Zdroj: |
Automatic Control & Computer Sciences; Dec2023, Vol. 57 Issue 8, p1063-1070, 8p |
| Abstrakt: |
This paper studies automatizing the analysis of access control in big data management systems by modeling security policies. It analyzes modern methods of ensuring access control in this class of systems, determines the respective requirements, and chooses the most advanced method for describing security policies as part of the solution in development. The task of modeling security policies in big data management systems is formulated. The architecture, the main components, and the general operating algorithm of the software framework for solving the task, as well as the experimental validation results, are presented. The strengths and weaknesses of the framework are assessed and ways for its further upgrade suggested. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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