The article discusses the possibility of modifying the genetic algorithm (GA) to solve the problems of selection, optimization and management of the dynamic configuration of information security means for the security chain of information and communication systems (ICS). The scientific novelty of the work lies in the fact that GA recommends using the total cost of information loss risks, as well as cost indicators for each class of information security systems as a criterion for optimizing the composition of the information security system. The genetic algorithm is considered as a kind of problem associated with multiple choice when optimizing the choice of information content of information security and solving problems of dynamic management of cybersecurity resources. In this concept, the optimization of the placement of the information security system along the security chain is considered as a modification of the combined backpack problem. The proposed approach allows not only to quickly calculate various versions of software and hardware information systems and their combinations for ICS, but also to dynamically manage the proposed algorithm with existing models and algorithms to optimize the composition of ICS cybersecurity chains and cybersecurity resources of various information objects. It is possible that such a combination of models and algorithms will quickly restore ICS protection by configuring profiles in accordance with the classes of new threats and cyber attacks.
ANALYSIS OF MATHEMATICAL METHODS OF MULTI-CRITERIA OPTIMIZATION AND DYNAMIC MANAGEMENT OF CYBERSECURITY RESOURCES OF INFORMATIZATION OBJECTS
Published December 2020
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Abstract
Language
Русский
How to Cite
[1]
Адилжанова, С. , Тюлепбердинова, Г. , Сакыпбекова, М. and Текесбаева, Н. 2020. ANALYSIS OF MATHEMATICAL METHODS OF MULTI-CRITERIA OPTIMIZATION AND DYNAMIC MANAGEMENT OF CYBERSECURITY RESOURCES OF INFORMATIZATION OBJECTS . Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 72, 4 (Dec. 2020), 162–167. DOI:https://doi.org/10.51889/2020-4.1728-7901.25.