Efficient collection method of industrial control system network security data based on big data

Abstract

The invention discloses a method for efficiently collecting network security data of an industrial control system based on big data. The data is collected through a data collection module, and the collected data is safely encrypted, and at the same time, the user identity of the collected data is judged, and the identity of the collected data is verified. Integrity and coherence, so as to ensure the security of the data, verify the model through the data accuracy, establish the equipment simulation model, and compare the data collected from the simulation model with the actual data, judge whether the data has been modified, and ensure the integrity of the data Accuracy, through the data problem tracing module, the reason for the deviation between the data collected from the simulation model and the actual data is retrieved, so as to correct the cause of the data deviation in time and strictly control the quality of the parts.

Description

technical field [0001] The invention relates to the technical field of big data industrial control systems, in particular to a method for efficiently collecting network security data of industrial control systems based on big data. Background technique [0002] The industrial control system is controlled through industrial automation, mainly through the integration of electronic, electrical, mechanical and other technical means. The three major control systems of the industrial control system are PLC, DCS and FCS, all of which are electronic systems operated by digital operations. When the industrial control system and the host computer perform data transmission, the security of the data is often poor, resulting in frequent data theft, and the speed of data upload is slow, and it is impossible to obtain the data of multiple interfaces at one time. The security of has been compromised, and it is impossible to know the authenticity of the uploaded data. [0003] In rail trans...

AI Technical Summary

Problems solved by technology

[0002] The industrial control system is controlled through industrial automation, mainly through the integration of electronic, electrical, mechanical and other technical means. The three major control systems of the industrial control system are PLC, DCS and FCS, all of which are electronic systems operated by digital operations. When the industrial control system and the host computer perform data transmission, the security of the data is often poor, resulting in frequent data theft, and the speed of data upload is slow, and it is impossible to obtain the data of multiple interfaces at one time. The security of has been threatened, and it is impossible to know the authenticity of the uploaded data

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