Framework for Modeling Security Policies of Big Data Processing Systems

被引：0
|
作者：
Poltavtseva, M. A. [1 ]
Ivanov, D. V. [1 ]
Zavadskii, E. V. [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2023年 / 57卷 / 08期
基金：
俄罗斯科学基金会;
关键词：
big data security; big data management systems; access control; attributive access; security policy; security policy modeling; INFERENCE ATTACKS;
D O I：
10.3103/S0146411623080254
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1063 / 1070
页数：8
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