Abstract
The purpose of the research is to develop the concept of systematization of the knowledge base and solving problems of information cybersecurity of systems and when making search decisions based on the construction of a structured semantic content model of terms of a scientific and theoretical nature describing complex active systems. Research methods: statistical analysis, hypothesis testing methods, machine learning methods, reliability models, evaluation type models used in testing reliability indicators, parameters of behavioral systems. The result obtained: The result obtained: experimental results of the application of reliability evaluation models and consent criteria to different sizes of knowledge bases are discussed and the evaluation of the results of measuring the reliability index on these components, taking into account the failure rate, is given. The description of generalized algorithms for the functioning of evaluation and forecasting components, as well as their applicability to solving problems in the field of information security, is given. A general model of a spatial network is proposed, within the framework of which the subject carries out risk management by effectively, in one sense or another, distributing the homogeneous resource at his disposal between its nodes. For the implementation of decision-making, more optimistic criteria than the minimax criterion are recommended. Scientific novelty: consists in the development of mathematical models to maintain the logical and physical integrity of the knowledge bases of cybersystems using the desirability function and consent criteria. The basic requirements for ensuring reliable behavior and operability of an information system using oriented databases are highlighted and described. It is postulated that the best information system reliability is achieved through the use of automated monitoring systems using knowledge bases for continuous monitoring and periodic analysis of cybersystem objects with tracking the dynamics of changes in the event space.
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