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Industrial control system function safety verification method based on immune learning

An industrial control system and functional safety technology, which is applied in the field of functional safety verification of industrial control systems based on immune learning, can solve problems such as “name” does not match reality, and achieve the effect of improving safety and reducing functional safety risks

Active Publication Date: 2017-05-31
成都巧班科技有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The hidden risks of "names" that do not match the reality make traditional industrial system security guarantees useless

Method used

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  • Industrial control system function safety verification method based on immune learning
  • Industrial control system function safety verification method based on immune learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] A method for verifying the functional safety of an industrial control system based on immune learning, comprising the following steps:

[0052] A. Obtain the behavioral parameter data of industrial control by offline-in-the-loop testing of industrial control components;

[0053] B. According to the behavioral parameter data, shape the safety benchmark model library of industrial control under multi-scale;

[0054] C. In the actual industrial control process, identify abnormal control behaviors through the security benchmark pattern library;

[0055] D. Construct a database of abnormal behavior patterns based on abnormal control behaviors.

[0056] The present invention aims at the defect that the existing industrial control system functional safety verification method is limited by the open mechanism and the implementation of diagnosis under known fault conditions, explores an innovative guarantee mechanism that does not depend on the mechanism analysis model and prior...

Embodiment 2

[0058] This embodiment refines each step on the basis of Embodiment 1.

[0059] Before step A, it is necessary to formally express the operation process and industrial control access process of the industrial control system:

[0060] The first is to expand the access function description: by clearly defining the controlled object, the initial state and termination state before and after the implementation of industrial control, and each key intermediate state of the state change during the implementation, the specific behavior function of the industrial control access process is explained; the behavior function is regarded as The entity carrying the industrial control access process regards the status of the controlled object as information that flows logically between entities.

[0061] The second is to expand the job function description: the information processing service is regarded as the entity carrying the industrial control operation process, the functional agent of th...

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Abstract

The invention discloses an industrial control system function safety verification method based on immune learning. The verification method includes the steps: A, acquiring behavior parameter data of industrial control by testing an industrial control component in an offline in-loop manner; B, constructing safety standard mode bases of industrial control under multiple scales according to the behavior parameter data; C, identifying abnormal control behaviors through the safety standard mode bases; D constructing abnormal behavior mode databases based on the abnormal control behaviors. The verification method does not depend on prior information such as normal analysis rules and abnormal black features, lose efficacy and hidden danger are accurately determined from a behavioral expression level without knowing reasons, characteristics and use details of specific defects, function safety risks are remarkably reduced.

Description

technical field [0001] The invention relates to the field of functional safety assurance of industrial control systems, in particular to a method for verifying functional safety of industrial control systems based on immune learning. Background technique [0002] The industrial control system is an important part of the country's critical infrastructure and is related to the country's strategic security. Under the background that industrial transformation and upgrading is becoming the focus of a new round of competition in global economic development, the "return of manufacturing" in the United States, "Industry 4.0" in Germany, and China's "Made in China 2025" strategy all express the same Contents: Using IoT sensing, cloud computing, big data, industrial interconnection and other technologies to lead the transformation of industrial production methods and stimulate the innovation and development of the industrial economy. So far, the curtain of the deep integration of con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/44G06F21/57
CPCG06F21/44G06F21/57
Inventor 刘单丹赵勇
Owner 成都巧班科技有限公司
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