MULTİ-CRİTERİAL OPTİMİZATİON COMPOSİTİON OF CYBER SECURİTY CİRCUİTS BASED ON GENETİC ALGORİTHM
Lakhno V. Akhmetov B. Mohylnyi H. Blozva A. Chubaievskyi V. Kryvoruchko O. Desiatko A.
15 April 2022Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2022#100Issue 71996 - 2006 pp.
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.
Cybersecurity , Genetic Algorithm , Multi-Criteria Optimization , Protection Circuits , İnformation Protection
Text of the article Перейти на текст статьи
National University of Life and Environmental Sciences of Ukraine, Ukraine
Caspian University of Technology and Engineering named after Sh.Yessenov, Aktau, Kazakhstan
Luhansk Taras Shevchenko National University, Starobilsk, Ukraine
Kyiv National University of Trade and Economics, Department of Software Engineering and Cybersecurity, Kyiv, Ukraine
National University of Life and Environmental Sciences of Ukraine
Caspian University of Technology and Engineering named after Sh.Yessenov
Luhansk Taras Shevchenko National University
Kyiv National University of Trade and Economics
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026