Framework for Modeling Security Policies of Big Data Processing Systems


연구 분야: Databases



학회: Automatic Control and Computer Sciences


초록

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.


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M. A. Poltavtseva

Peter the Great St. Petersburg Polytechnic University 195251 St. Petersburg Russia

Russia
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D. V. Ivanov

Peter the Great St. Petersburg Polytechnic University 195251 St. Petersburg Russia

Russia
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E. V. Zavadskii

Peter the Great St. Petersburg Polytechnic University 195251 St. Petersburg Russia

Russia

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 Russia
사이트 Springer
좋아요 수 0

연관 논문 목록 (137건)