Mathematical Model of Information Security Event Management Using a Markov Chain in Industrial Systems

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
V. M. Krundyshev, G. A. Markov, I. Yu. Zhukov
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引用次数: 0

Abstract

The problem of ensuring information security in industrial Internet-of-Things (IIoT) systems is considered. In the study, it is found that, in most cases, security information and event management (SIEM) systems with configured rules for correlating events in the information infrastructure are used to protect comprehensively the information perimeter of an industrial enterprise from external and internal threats. In this case, there is a need to create a mathematical apparatus that allows for an accurate and objective estimate of the effectiveness of a SIEM system. As a result of the study, the problem of preventing information security incidents in IIoT systems is formalized based on the developed mathematical model of information security event management using a continuous-time Markov chain.

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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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