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Industrial control safety auditing system and method based on artificial intelligence

A technology of security auditing and artificial intelligence, applied in transmission systems, electrical components, etc., can solve problems such as unfavorable work efficiency of industrial control security auditing system, lack of artificial intelligence learning terminal and security auditing control detection function, etc., to achieve the effect of improving security

Active Publication Date: 2021-03-02
北京珞安科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps prevent accidents caused by cyberattacks on an Industrial Control Network (ICN). It uses advanced technologies like machine learning or neural networks to detect potential hazards early warning signs before they affect critical systems such as power plants or vehicles. These alerts help identify possible issues earlier and take appropriate actions accordingly.

Problems solved by technology

This patented describes how it works well when there's no IT infrastructure available on the factory floor where all necessary technical features like sensors, cameras, printers, servers, etc., cannot be easily accessed due to their potential vulnerabilities. However, this solution allows companies to protect critical industries while ensuring efficient operation without compromising safety concerns.

Method used

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  • Industrial control safety auditing system and method based on artificial intelligence
  • Industrial control safety auditing system and method based on artificial intelligence
  • Industrial control safety auditing system and method based on artificial intelligence

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Embodiment Construction

[0032] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the specific embodiments and the accompanying drawings. It should be understood that these descriptions are exemplary only and are not intended to limit the scope of the invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present invention.

[0033] like Figure 1-4 As shown, an artificial intelligence-based industrial control security audit system and method proposed by the present invention includes a security audit terminal 1, a central control terminal 2 and an artificial intelligence learning terminal 3; a central control terminal 2, a security audit terminal 1 and an artificial intelligence learning terminal 3; Terminal 3 communication connection; artificial intelligence ...

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PUM

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Abstract

The invention discloses an industrial control safety auditing system and method based on artificial intelligence. The system comprises a safety auditing terminal, a central control terminal and an artificial intelligence learning terminal. According to the invention, the security auditing terminal is arranged to monitor and record the network state, the intrusion behavior and the operation recordrespectively; loopholes and malicious attacks are protected in real time, and when a high-risk security condition occurs, data storage and service interruption are carried out immediately, and an alarm is given; the security of the industrial control network is improved, so that the industrial control network meets the industry compliance auditing requirement; by arranging the central control terminal, operation behaviors in an industrial control network and auditing services of the industrial control network are comprehensively recorded in detail, auditing data are safely reserved, and an information transmission function between the safety auditing terminal and the artificial intelligence learning terminal is achieved; and by arranging the artificial intelligence learning terminal, new security risks are found in time through the industrial control network learning module and the flow behavior learning module of deep learning analysis, and data support is provided for investigation and evidence collection of network security accidents.

Description

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Claims

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Application Information

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Owner 北京珞安科技有限责任公司
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