Застосування інтелектуальної діагностичної інфраструктури для управління кібербезпекою. Частина 2. Підтримка життєвого циклу системи кіберзахисту

Abstract

How use of structural features in the construction of hybrid models allows supporting of models adjustment and adaptation to problem-subject environment was considered in the article. The following features were attributed to structural ones: the type of learning algorithm; kind of activation function; the number of layers of the neural network; type of neurons; way of spreading information in neural networks; method of evaluating and interpreting the results of the neural network; the format of fuzzy inference rules; fuzzification and defuzzification method; way to implement the operations of fuzzy implication and logical operations NOT, AND, OR; kind of used genetic operators and the target functions, etc. We propose to use a neural network approach as a basis for the decision of difficulty tasks using decision-support systems. Its effectiveness can be enhanced by: prior training or adjustment of individual neural modules for solvable problem; incorporation of knowledge about the peculiarities of the domain in the hierarchical (multilayer) neural networks structure; application of basic types of hybrid models in which neural network communicates with other information technologies.