Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits

Independent restructuring of the architecture of multicomputer systems during their operation is a complex task, since such systems are distributed. One of the tasks in this restructuring is to change the architecture of system centers. That is, the system can be rebuilt without changes in its center. But the specifics of the tasks of systems for detecting malicious software and computer attacks require such an organization of systems that it is difficult for attackers to understand their behavior. Therefore, the current task considered in the work is the development of rules for ensuring the restructuring of system centers according to different types of architecture. The aim of the work is to develop criteria for evaluating potential options for centralization in the architecture of multicomputer systems with traps and decoys. To ensure such an assessment, the work analyzed known solutions and established the insufficiency of mathematical support for organizing the restructuring of system centers during their operation. Taking into account the specifics of the tasks for such systems, no parameters were determined that could be taken into account for the formation of the restructuring of system centers. The analyzed works establish the main types of centralization used in the architecture of systems: centralized, partially centralized, partially decentralized, decentralized. However, algorithms and methods for the transition of systems from one type to another in the process of their functioning are not provided. Subject. The work defines characteristic properties that can be used when synthesizing systems. They determine the number of potential variants of the system architecture to which it will switch at the next step when making a decision on restructuring the architecture. With an increase in the number of characteristic properties, the number of possible variants will increase. When approving the variants for the transition, it was necessary to evaluate them taking into account the previous experience of the systems' functioning. To evaluate potential centralization variants in the architecture of systems, evaluation criteria were developed. A feature of the evaluation criteria is that according to them, it is possible to take into account the experience of using the centralization variant in the case of repetition and evaluate the prepared variants that are offered for the first time. That is, the evaluation criteria include the previous experience of the functioning of multi-computer systems. This experience made it possible to evaluate the repeated option based on the results of its previous use. This made it possible to diversify the choice of system centers. Methods. The work developed an objective function for evaluating the next centralization option in the system architecture. The objective function takes into account four evaluation criteria for operational efficiency, stability, integrity and security. All these criteria are focused on evaluating potential options for system centers. New mathematical models were developed for the criteria for operational efficiency, stability, integrity and security in relation to the system center, which, unlike the known mathematical models for evaluating system centers for selecting the next options for centralization, are presented in analytical expressions that take into account the features of the types of centralization in the system architecture, indicators of operational efficiency, stability, integrity and security in relation to the system center and allow forming on their basis an objective function for evaluating options for centralization in systems, the feature of which is the hiding of components with the system center from detection by attackers. Results. The work analyzed the results of an experiment conducted with a prototype of the system. The convergence of the experimental results and the results obtained by the theoretical method has been established. Conclusion. The study introduces mathematical models for evaluating system centers based on operational efficiency, stability, integrity, and security criteria. Unlike existing models, these are presented as analytical expressions that account for various centralization types within system architectures. The models enable the creation of objective functions to evaluate centralization options, emphasizing the concealment of system center components from attackers. Experimental results with a system prototype confirm the theoretical models' validity, showing minimal deviations in function graphs. Significant deviations in specific time intervals are addressed to achieve optimal centralization options.