Identification of Cyber Threats in Networks of Industrial Internet of Things Based on Neural Network Methods Using Memory

It is proposed to use modern artificial neural networks to identify cyber threats in networks of the Industrial Internet of Things. The modeling of an industrial system under the influence of cyberattacks was carried out. As a result of the experiments, the optimal configuration parameters of the recurrent LSTM network with a confirmed number of layers and states have been determined.