We proposed an architecture for a protection control system of the object of informatization (OBI) with the subsystem of intelligent support for making decisions on the operational management of cyberprotection. The proposed architecture, in particular, can be used under conditions of the incompleteness of knowledge about the state of OBI protection. We developed a model for the operational management of cyberprotection at OBI and formed a rational complex of protection means. The model is based on the morphological approach. The model allows, taking into account morphological matrices for each of the five proposed perimeters prepared by the intelligent decision-making support system (IDMSS), generation of variants of sets that consider the compatibility of software and hardware tools of information protection. It is proposed to make the choice on the optimal variant of a set for the perimeter using an objective function that maximizes the ratio of the summary indicator "protection of information" to the summary indicator "expenditures". The software is realized and tested under real conditions of IDMSS in the contours for the organizational-technical and operational management of the OBI protection. An improved architecture of IPCS is different from the existing solutions in the possibility of simultaneous optimization of sets of software and hardware tools for the examined perimeters of OBI, for both centralized and decentralized variants for processing the information. In this case, an analysis of the level of protection of OBI is performed in real time. It is proven that the use of the developed IDMSS makes it posible to significantly reduce the planned spending on an information protection system, as well as reduce the time it takes to inform decision-makers about information security incidents.

Synthesis of Bandpass Filter as a Four-Pole Based on a Non-Homogeneous Line

The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications network in the presence of destabilizing factors, it is necessary to modify classical linear methods to reduce their sensitivity to the incompleteness of a priori information. Using generalized linear models of multiple regression, a combined method was developed for assessing and predicting the survivability of a telecommunications network under conditions of uncertainty regarding the influence of destabilizing factors. The method consists of accumulating current information about the parameters and state of the network, the statistical analysis and processing of information, and the extraction of sufficient sample statistics. The basis of the developed method was balancing multiple correlation–regression analysis with the number of regression equations and the observed results. Various methods of estimating the mathematical expectation and correlation matrix of the observed results under the conditions of random loss of part of the observed data (for example, removing incomplete sample elements, substituting the average, pairwise crossing out, and substituting the regression) were analyzed. It was established that a shift in the obtained estimates takes place under the conditions of a priori uncertainty of the statistics of the observed data. Given these circumstances, recommendations are given for the correct removal of sample elements and variables with missing values. It is shown that with significant unsteadiness of the parameters and state of the network under study and a noticeable imbalance in the number of regression equations and observed results, it is advisable to use stepwise regression methods.