Assessing the Security of Big Data Systems

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624701025
M. A. Poltavtseva, V. V. Zaitseva, D. V. Ivanov
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Abstract

This article considers the problem of assessing the security of big data systems. The authors define the main aspects of big data systems as an object of security assessment and analyze the known assessment methods, including methodologies for assessing the security of information systems (ISs). Based on the obtained results, a new evaluation method is proposed that takes into account factors such as the state of the access control system in the heterogeneous systems under consideration and the number of privileged users. A mathematical formalization of the assessment is proposed, the main stages of its implementation are described, and a test example is presented.

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评估大数据系统的安全性
本文探讨了评估大数据系统安全性的问题。作者定义了作为安全评估对象的大数据系统的主要方面,并分析了已知的评估方法,包括评估信息系统(IS)安全的方法。根据所获得的结果,提出了一种新的评估方法,该方法考虑到了所考虑的异构系统中访问控制系统的状态和特权用户数量等因素。提出了评估的数学形式化,描述了其实施的主要阶段,并介绍了一个测试实例。
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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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