The article is dedicated to the development of structural model of the influence the human factor based on research of engineering-psychological features in management decision making processes in the complex integrated automated control systems. In the real hierarchic control systems the main problem is to find the ways of structures activity by vertical and horizontal directions. The algorithm of forming the functional system activity realizes the processes in structure of human nervous system. The algorithm is created by union motivation, goal, personal meanings and the image of the result. The algorithm realizes special mental functions. Integral development of human activity abilities is giftedness contained in the union, that could be detected by functional system features realized through the human mental functions. Management making decision process program contains not only the conditions of choice of the intellectual operations but the time modes. The program envelopes the structural blocks of all activity system. The processes of program creation and management making decision provided by each of abilities in view of the function ability system’s union direction simultaneously become subordinated according to its motivation activity. Information security aspects are considered in the article, particularly, the application of the complex approach to solving the protection of the functional system activity problem is proposed. For the diagnostics of the professional expert abilities the development of the methodology is needed. The methodology helps to investigate the field activity problem from the position of interdisciplinary approach to the complex technical objects based on integrated automated control systems.

The aim of the scientific work is to assess the level of information security of the automated enterprise systems using modelling based on the concept of digital twins of production. The article is devoted to solving the problem of constructing a model that is a digital twin of the enterprise automated systems. Within the framework of a systematic approach, solving this problem implies modelling environmental conditions, software and hardware reliability, as well as the human factor. The novelty of the work is the proposed creative concept of using the digital twin technology for a detailed assessment of the information security level of the automated systems. The study findings are the recommendations for assessing the level of information security using a digital twin.

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