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Self-learning-based safety detection method for OPC Classic protocol

A security detection and self-learning technology, applied in transmission systems, electrical components, etc., can solve problems such as unsafe and unreliable, achieve reliable detection methods, and ensure the effect of safety

Inactive Publication Date: 2016-09-21
中国东方电气集团有限公司
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Problems solved by technology

[0008] The object of the present invention is to, at the security and reliability problem of the control system of OPC agreement caused by the unsafe, unreliable of DCOM agreement in the prior art, propose a kind of security detection method based on the OPC Classic agreement of self-study, Maximize the security of OPC communication

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  • Self-learning-based safety detection method for OPC Classic protocol
  • Self-learning-based safety detection method for OPC Classic protocol
  • Self-learning-based safety detection method for OPC Classic protocol

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing, the present invention is described in detail.

[0036] As a preferred embodiment of the present invention, with reference to the attached figure 1 To attach Figure 4 , the present embodiment discloses a security detection method based on the self-learning OPC Classic protocol, and the present embodiment includes:

[0037] like figure 1 As shown, the method of the present invention is serially connected between the OPC client and the OPC server by Ethernet; figure 2 As shown, in this embodiment, firstly, a period of self-learning is performed through self-learning to generate an abnormal traffic detection model; then the model is enabled according to requirements, and the OPC communication is filtered in combination with access control, wherein the access control includes Some OPC depth detection methods; Main workflow of the present invention is as follows:

[0038] Detect whether port scanning is being performed in ...

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Abstract

The invention relates to the industrial control system network information safety field, and discloses a self-learning-based safety detection method for an OPC Classic protocol. The flow of the method includes the steps: detecting whether port scanning is being operated in the network of an OPC client, wherein if not, the data is filtered through access control and if so, the data is filtered through access control and an anomaly flow detection model which is generated through self-learning; transmitting the filtered data to an OPC server; and performing safety detection through the anomaly flow detection model which is generated through self-learning and access control. Therefore, a more reliable detection method is provided for stabilization and safety of connection of the OPC Classic protocol, and the safety for OPC communication is maximumly guaranteed.

Description

technical field [0001] The invention relates to the field of network information security of industrial control systems, and more specifically, relates to a security detection method based on self-learning OPC Classic protocol. Background technique [0002] With the continuous cross-integration of industrialization and informatization, more and more information technologies are applied to the industrial field. OPC provides standardized software interfaces between equipment and applications from different suppliers to simplify data exchange between them. Its appearance has established a bridge for Windows-based applications and on-site process control applications; since the OPC protocol is based on Microsoft's DCOM protocol, the DCOM protocol was designed before security issues were widely recognized. Therefore, these protocols give control systems security and reliability pose great challenges. [0003] The OPC Classic protocol requires the following two steps to establish...

Claims

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/0236H04L63/0263H04L63/101H04L67/133
Inventor 袁晓舒程超
Owner 中国东方电气集团有限公司
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