MODEL FOR ASSESSING THE LEVEL OF SURVIVAL OF AN INFORMATION SYSTEM WITH THE PROPERTIES OF PARTIAL REGULATED INTERCHANGEABILITY OF SUBSYSTEMS
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.3.2.2Keywords:
modeling, optimization, logistic dependencies, effect, survivability, resources, information systemsAbstract
The purpose of the study is to develop a model for assessing the level of survivability of an information system, which allows finding the optimal distribution of resources between its subsystems, taking into account the level of their interchangeability. The following subsystems are considered as part of the survivability system: a subsystem for detecting harmful effects based on already known scenarios, a subsystem for detecting “zero-day” attacks, and a subsystem for preventing detected intrusions. The most adequate is the dependence of the useful effect of the subsystem on the input resources based on logistic dependencies, which are uniquely specified by the parameters: the ordinates of the asymptotes, the constant value of the logistic dependency, which determines the rate of maximum growth of the logistic dependency, and the abscissa of the symmetry point, which depends on the initial conditions. Scalar convolutions are used to combine the effects of subsystems into the overall effect of the system. It is proposed to use basic convolutions with the properties of complete interchangeability of subsystems (additive) and complete non-interchangeability of subsystems (minimizing).An additive-minimizing convolution is proposed, which allows you to adjust the model to different levels of subsystem interchangeability in the entire range of possible values. Dependencies are formulated to find the optimal distribution of resources between subsystems to ensure the maximum useful effect of the system. The optimal solution is found by the method of complete direct search, which made it possible to avoid local optima and confidently find the global maximum.The optimal point changes its position depending on the values of the parameters of the interchangeability level coefficient and the total resource of the system. The trajectories of the optimal solutions are constructed for different parameter values, which allows not only to find the optimal solution for the current parameters, but also to find parameters that would allow improving the effect of the system, taking into account a possible change in work scenarios.
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