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Method for establishing rule model in machine learning

A building method and machine learning technology, applied in machine learning, computing models, instruments, etc., can solve problems such as low efficiency, error-prone, difficult configuration, etc., to improve work efficiency, high usability, and reduce manual configuration work. Effect

Active Publication Date: 2021-02-09
JIANGSU BOZHI SOFTWARE TECH CO LTD
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Problems solved by technology

[0004] The invention provides a method for establishing a rule model in machine learning, which can solve the problems of relatively difficult configuration, low efficiency, and error-prone problems in the automatic classification and configuration of existing protocol operation instruction detection rules

Method used

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  • Method for establishing rule model in machine learning

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Embodiment Construction

[0017] The present invention is described in detail below in conjunction with examples, but the present invention is not limited to these examples.

[0018] The embodiment of the present invention provides a method for establishing a rule model in machine learning, such as figure 1 As shown, the establishment method includes:

[0019] Step 101, analyzing the communication behavior sample of the first industrial control protocol, and extracting the first protocol sample.

[0020] Specifically, the industrial control protocol communication message of the first industrial control protocol communication behavior sample can be analyzed, and the source IP, destination IP, protocol name, protocol control command, protocol control point and protocol control value can be extracted; then the source IP , destination IP, protocol name, protocol control command, protocol control point and protocol control value are packaged to form the first protocol sample.

[0021] Step 102, input the ...

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Abstract

The invention discloses a method for establishing a rule model in machine learning, belongs to the technical field of industrial control network security, and can solve the problems of relatively highconfiguration difficulty, relatively low efficiency and easiness in making mistakes during automatic classification configuration of existing protocol operation instruction detection rules. The establishment method comprises the following steps: analyzing a first industrial control protocol communication behavior sample, and extracting a first protocol sample; inputting the first protocol sampleinto a machine learning module for training, and determining a normal communication library; analyzing a second industrial control protocol communication behavior sample, and extracting a second protocol sample; inputting the second protocol sample into the machine learning module for training; and obtaining the weight of the second protocol sample, updating the normal communication library and establishing an abnormal communication library according to the weight of the second protocol sample. The method is used for establishing the rule model.

Description

technical field [0001] The invention relates to a method for establishing a rule model in machine learning, and belongs to the technical field of industrial control network security. Background technique [0002] With the continuous integration of industrial control networks and Internet networks, industrial control systems are developing in the direction of digitization, networking, and intelligence. More and more industrial control systems and related equipment are connected to external public networks. Industrial interconnection has become The inevitable trend, highly networked, open protocols and common component interconnection, brings more attack paths and attack methods. The security issues of cyberspace directly extend to industrial control systems, and industrial control systems face more complex information security threats. , Automatic identification of abnormal industrial control behaviors has become an urgent problem to be solved. [0003] The traditional audit...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 傅涛王力
Owner JIANGSU BOZHI SOFTWARE TECH CO LTD
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