Parametric Modeling of the State of Critical Information Infrastructure Object Under Destructive Impact Conditions

Autor: North Caucasian Federal Districts, Aleksey Kubarev, Sergey Nazaryan, Aleksey Lapsar, Ano Dpo «Uchebnyy tsentr «Eshelon»
Rok vydání: 2021
Předmět:
Zdroj: Voprosy kiberbezopasnosti. :58-67
ISSN: 2311-3456
Popis: The purpose of the study: development of a method for obtaining parameterized values of local characteristics of a diffusion Markov process. It is used to simulate the state of a critical information infrastructure object under off-normal operating conditions caused by a destructive information impact. Methods: synthesis of local characteristics of evolutionary equations which describe the state of a critical information infrastructure object, using the Markov theory for estimating multidimensional diffusion processes as well as the apparatus for studying moment functions. Results: the problems of parametric modeling of the state of critical information infrastructure objects are analyzed on the basis of diffusion Markov processes in the process of synthesis of evolutionary equations which describe the behavior of such objects. The study reveals features of the functioning of objects, which implement the management of complex technical systems in the conditions of normal operation as well as off-normal operation, caused by destructive information impact. A method has been developed for the synthesis of local characteristics of the diffusion process, which simulates the behavior of critical information infrastructure objects during off-normal operation. An example of the formation of a domain for determining the characteristics of a destructive information impact, used as a parameter of synthesized models for assessing the state of objects of critical information infrastructure, is given. The proposed method can be used as the basis for specifying technical requirements for critical information infrastructure objects that perform the functions of automated control at promising and modernized complex technical facilities.
Databáze: OpenAIRE