MODEL OF MANAGEMENT FOR COUNTERING INFORMATION ATTACKS IN CYBERSPACE

Kolesnikov Anton Aleksandrovich

The article is devoted to the study of current problems related to countering information attacks in cyberspace. During the research process, it was noted that it is advisable to use an evolutionary approach as the conceptual basis of the model. The author's version of a model for detecting an attack with false data injection in an industrial control system is presented. The basis of the developed model is a combination of the state estimation method of two convolutional neural networks (CNN-CNN) for selecting functions and building a reliable mechanism for identifying the actions of attackers.

Keywords:model, attack, cyberspace, neural network