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Instruments and Systems: Monitoring, Control, and Diagnostics

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Problems of Modeling Information Security Management Processes in Automated Systems
A.G. VOVIK

This article is focused on the analysis of the problems in creating numerical models of information security management of automated systems
and on search for the most effective modeling methods. The existing methods analysis of modeling systems, analytical, statistical and settheoretical ones in particular, is carried out. A conclusion is formed about the inexpediency in using analytical methods because of high level
uncertainty of the model variables. In turn the statistical representations use is limited by the complexity of sample representativeness proving,
which casts doubts on such studies results applicability. As a result of the analysis, the author proposes an integrated modelling method
combining fuzzy modeling methods, structuring methods and expert judgement methods. As an example, graphical interpretations of possible
solutions to fuzzy models of the threat level in the protected system and information security indicator level are given, thus demonstrating
this type model’s qualitative adequacy in solving managing information security problem. The information security management process
formalization by fuzzy modeling methods opens up the possibility of synthesizing an automated and, in future, an automatic information
security management system.
Keywords: information security, information security management, information security system, fuzzy algorithms, formalization of
management processes, information risk.


DOI: 10.25791/pribor.9.2024.1524

Pp. 28-39.

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