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

Abstract

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 classification performance is more accurate, so that the technical problem of poor classification precision of an industrial control system intrusion detection method in the priorart is solved.

Description

technical field [0001] The present application relates to the technical field of industrial control, in particular to a convolutional neural network-based industrial control system intrusion detection method, a convolutional neural network-based industrial control system intrusion detection device, computer equipment, and a computer-readable storage medium. Background technique [0002] Industrial control systems pervade electric power, chemical, petroleum and other industries, and with the integration of informatization and industrialization, the communication network inside the industrial control system is gradually interconnected with the Internet. In this way, the original closedness of the industrial control system is broken, and it is vulnerable to more attacks. An intrusion detection system can detect external attacks before they cause harm to the system and issue an alarm. The intrusion detection technology in the traditional IT network is relatively mature, but the...

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Problems solved by technology

[0005] Based on this, it is necessary to provide an industrial control system intrusion detection method based on convolutional neural network and an industrial control system intrusion detection method based on convolutional neural

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