Industrial control network security detection method and system

An industrial control network and security detection technology, applied in transmission systems, neural learning methods, biological neural network models, etc., can solve the problems of network security detection lag, low accuracy, etc., to facilitate inspection and maintenance, ensure detection accuracy, Mitigating the effect of cyber attacks

Inactive Publication Date: 2021-11-23
武汉卓尔信息科技有限公司
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[0004] In view of this, the embodiment of the present invention provides an industrial control network security detection method a

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  • Industrial control network security detection method and system
  • Industrial control network security detection method and system
  • Industrial control network security detection method and system

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Embodiment Construction

[0023] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] The term "comprising" and other expressions with similar meanings in the description or claims of the present invention and the above drawings mean that the coverage is not exclusive, such as the process, method or system, equipment comprising a series of steps or units are not limited to Steps or units listed. In addition, "first...

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Abstract

The invention provides an industrial control network security detection method and system. The method comprises the following steps: adding a predetermined mark to a data packet forwarded by an industrial control network node; collecting each network node data packet, and performing anomaly classification on the network nodes through the forest model and the SVM model based on each network node data packet feature; determining a network attack path through a graph convolutional neural network according to the spatial forwarding path of the data packet with the predetermined mark and the distribution of the abnormal network nodes; and reducing the network attack through a corresponding packet loss strategy or partition processing based on the network attack path. Through the scheme, the abnormity of the industrial control network can be detected in real time, the network attack path is determined, and the detection accuracy can be guaranteed.

Description

technical field [0001] The invention relates to the field of industrial Internet, in particular to a method and system for detecting security of an industrial control network. Background technique [0002] As the basic platform of intelligent manufacturing, the Industrial Internet plays an increasingly critical role in the development of modern industrial manufacturing. Combining advanced technologies such as the Internet of Things, big data, and artificial intelligence, a new ecology of resource enrichment, collaborative participation, and integration of physical manufacturing and networks will be formed. In the industrial Internet, the industrial control network is bound to be involved. Since the internal production equipment of the factory needs to exchange information with the outside, and the control center needs to exchange data with the production equipment, there may be a risk of external malicious intrusion during the data exchange process. Serious Affect normal in...

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Application Information

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IPC IPC(8): H04L29/06G06K9/62G06N3/04G06N3/08
CPCH04L63/1408H04L63/1416G06N3/08H04L63/1425H04L63/1441G06N3/045G06F18/2411G06F18/214
Inventor 周显敬刘虎汪寒雨黄银地
Owner 武汉卓尔信息科技有限公司
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