Application of a genetic algorithm in dynamic control problems of cyber security resources

Abstract

The article considers the possibility of modifying the genetic algorithm (GA) to address the issues of selection, optimization and dynamic configuration management of information security tools (IMS) for the security circuit of information and communication systems (ICS). The scientific novelty of the work is that it is recommended to use 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 in GA. The genetic algorithm is considered as a variation of the problem associated with multi-choice in optimizing the choice of information security information and the dynamic management of cybersecurity resources. In this concept, the optimization of the placement of the information security system along the protective circuit of the ACS is considered as a modification of the problem of the combination backpack. The proposed approach allows not only to quickly calculate the different versions of hardware and software information systems and their combinations for CMS, but also to dynamically manage the proposed algorithm with existing models and algorithms for optimizing the composition of CSR cybersecurity chains and cybersecurity resources of various information objects. It is possible that such a combination of models and algorithms will allow to quickly restore the CSR protection by adjusting the profiles according to the new threats and classes of cyber attacks.