Framework for Modeling Security Policies of Big Data Processing Systems

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
M. A. Poltavtseva, D. V. Ivanov, E. V. Zavadskii
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引用次数: 0

Abstract

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 Image

Abstract Image

大数据处理系统安全策略建模框架
摘要 本文研究通过安全策略建模实现大数据管理系统访问控制分析的自动化。它分析了确保该类系统访问控制的现代方法,确定了相应的要求,并选择了最先进的方法来描述安全策略,作为正在开发的解决方案的一部分。制定了大数据管理系统中安全策略建模的任务。介绍了解决该任务的软件框架的架构、主要组件和一般操作算法,以及实验验证结果。评估了该框架的优缺点,并提出了进一步升级的方法。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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