S.V. Skryl1, V.I. Terekhov2, P.A. Fedyunin3, R.A. Khvorov4

1,2 Bauman Moscow State Technical University (Moscow, Russia)
3,4 Military Training and Scientific Center of the Air Force “Air Force Academy n. a. Professor N.E. Zhukovsky and Yu.A. Gagarin” (Voronezh, Russia)

In order to create prerequisites for proving the hypothesis, a formal illustration of the basic concepts of the problem of adaptive management of the process of ensuring the security of information in the automated control system from the effects of VPO is given. Such concepts include the concept of the timeliness of the implementation of information processes in the automated control system, the manageability of information security in these systems from the effects of VPO, as well as the concepts of the potential and real significance of the timeliness of the implementation of information processes in the automated control system.

The formulated and proven basic scientific hypothesis is the basis for the development of theoretical provisions for adaptive management of information security in emergency control systems from the effects of malware as a task of optimal use of the time resources of these systems. The corresponding models necessary for the implementation of optimization algorithms are based on the formal similarity of the formalized representation of the characteristics of the timeliness of the implementation of information processes in the automated control system and the classical representation of the probability distribution function.

A methodology based on these provisions makes it possible to create, both theoretically and appliedly, the prerequisites for ensuring the sustainable functioning of the emergency control system in the face of virus attacks. At the same time, adaptation of information processes in the SN automated control system to changes in operating conditions is achieved by managing its time resources

Skryl S.V., Terekhov V.I., Fedyunin P.A., Khvorov R.A. The problem adaptive management of information security in special-purpose automated control systems from the effects of malicious software: formulation and proof of the basic scientific hypothesis. Dynamics of complex systems. 2024. V. 18. № 4. P. 41−49. DOI: 10.18127/j19997493-202404-04 (in Russian).

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