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Multi-criterial optimization composition of cyber security circuits based on genetic algorithm

Author(s)
LAKHNO V. National University of Life and Environmental Sciences of Ukraine
AKHMETOV B. Caspian University of Technology and Engineering named after Sh.Yessenov, Aktau, Republic of Kazakhstan
MOHYLNYI H. Luhansk Taras Shevchenko National University, Starobilsk, Ukraine
BLOZVA A. National University of Life and Environmental Sciences of Ukraine
CHUBAIEVSKYI V. Kyiv National University of Trade and Economics, Department of Software Engineering and Cybersecurity, Kyiv, Ukraine
KRYVORUCHKO O. Kyiv National University of Trade and Economics, Department of Software Engineering and Cybersecurity, Kyiv, Ukraine
DESIATKO A. Kyiv National University of Trade and Economics, Department of Software Engineering and Cybersecurity, Kyiv, Ukraine
Abstract
The article proposes a method of multicriteria optimization (MCO) of costs for an information security system (SIS) of an informatization object (OBI). The technique is based on the use of the genetic algorithm (hereinafter GA) VEGA (Vector Evaluated Genetic Algorithm). The modified algorithm for solving the problem of multicriteria optimization of the parameters of the OBI multi-loop SIS allows substantiating the rational characteristics of the DSS components, taking into account the priority cybersecurity metrics of the OBI selected by the expert. Unlike the existing classical VEGA algorithm, the modified algorithm additionally applies the Pareto principle, as well as a new selection mechanism.
Publication Details
Page(s) 1996-2006
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 7, Year: 2022

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Keywords
Genetic Algorithm, Information Protection, Multi-Criteria Optimization, Cybersecurity, Protection Circuits
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