Intrusion detection method and device for industrial control system, and equipment and storage medium

The invention relates to an intrusion detection method and device for industrial control system based on a convolutional neural network, a computer device and a computer readable storage medium, and the method comprises the steps: extracting an original data set of an industrial control system from a network data set of a communication protocol of the industrial control system; dividing the original data set into a training data set and a test data set according to a preset proportion; training the training data set through a convolutional neural network classification model to obtain an optimal classification model; and inputting the test data set into the optimal classification model for classification processing, and obtaining an intrusion detection result of the industrial control system. According to the scheme, the classification model with excellent performance is designed through the convolutional neural network, massive data can be processed quickly, multi-classification can be performed, and the cla