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Technology for determining weight coefficients of components of information security

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Category: Content №1 2025

Last Updated on 25 February 2025

Published on 30 November -0001

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Authors:

S.Onyshchenko, orcid.org/0000-0002-6173-4361, National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Hlushko, orcid.org/0000-0002-4086-1513, National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Laktionov*, orcid.org/0000-0002-5230-524X, National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S.Bilko, orcid.org/0000-0003-0259-4482, National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

^* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (1): 096 - 103

https://doi.org/10.33271/nvngu/2025-1/096

Abstract:

Purpose. Development of a technology for determining weighting coefficients based on an improved methodology to ensure the accuracy of determining the level of information security, taking into account its components.

Methodology. The process of creating and conducting an experiment on the technology for determining weight coefficients of components of information security at the macro level is studied. The proposed technology utilizes two comprehensive assessments that consolidate information into a single score. One comprehensive indicator is based on considering the human factor, while the other excludes the human factor through the use of artificial intelligence. Arrays of resulting assessments are used to determine the level of information security, which allows improving the efficiency of the information security diagnostic process.

Findings. The proposed technology, by utilizing a comprehensive indicator, demonstrates more effective diagnostic results, as determined by the standard deviation criterion. The integrated indicator that considers the human factor demonstrates a standard deviation value of 0.0195, while the comprehensive indicator without considering the human factor shows a value of 0.0047.

Originality. The proposed technology differs from the existing ones by employing a comprehensive indicator that takes into account a six-digit interaction of integrated indicators, with weight coefficients determined using artificial intelligence tools.

Practical value. The developed approach provides a more accurate result of integral assessment of the level of information security. This will allow the development of effective state instruments to enhance the level of information security, considering its current value, and to justify strategic directions for strengthening the state’s information security.

Keywords: linear model, integrated indicator, artificial intelligence, information security

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