Industrial control network security risk prediction method and device

The invention provides an industrial control network security risk prediction method and device, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring to-be-tested data for industrial control network security risk prediction, and preprocessing the to-be-tested data; performing security risk prediction on the preprocessed to-be-tested data based on a preset industrial control network security risk prediction model to obtain a security risk prediction result; wherein the preset industrial control network security risk prediction model is obtained by extracting sample features according to a denoising auto-encoder with a weighted loss function, and training an LSTM integrated with an attention layer according to the sample features. The device executes the method. According to the industrial control network security risk prediction method and device provided by the embodiment of the invention, the accuracy of industrial control network security risk pr