Behavior Modeling in Computerized Production Systems

When developing a mathematical model for managing workers' behavior in computerized production systems, the following challenges were considered: designing effective software systems to protect against internal attacks while ensuring flexibility and adaptability. In such systems, the management and consolidation of preliminary information from registration logs and operating system protocols, along with methods for data representation and storage, are treated as distinct areas of focus. A specialized architecture for the con-solidation system in computerized production systems is proposed. This ar-chitecture leverages digital technologies to analyze and synthesize data col-lected on user activities within the system. Furthermore, a mathematical model of user behavior is developed based on associative rules. The proposed mathematical model can be visually represented to administrators of com-puterized production systems as a network of dependencies. This visualization facilitates the detection of anomalies in user behavior and enables the assessment of potential threat levels associated with each user. When creating a mathematical model of controlling the behavior of employees in com-puterized production systems, the issues of building effective software sys-tems for protection against internal attacks, which have features such as flexibility, were considered. In computerized production systems, the man-agement and consolidation of initial data from the registration logs and oper-ating system protocols, data presentation and storage methods are analyzed separately. The architecture of the consolidation system of computerized production is proposed. It is proposed to use digital technology to analyze and synthesize the collected data about the subject's activity in the comput-erized production system and to build a mathematical model of subjects' be-havior based on associative rules. The constructed mathematical model can be visually presented to the administrator of the computerized production system as a network of dependencies, and can also be used to analyze anom-alies in the behavior of system participants and to assess the level of poten-tial threat arising from each subject.

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