Efficient collection method for industrial control system network security data based on big data
An industrial control system and network security technology, which is applied in the field of big data industrial control systems, can solve problems such as slow data upload speed, data theft, and poor data security, so as to ensure high-quality output, control accuracy, and security Effect
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2021-06-29
Smart Images

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Abstract
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...
Examples
Embodiment 1
[0042] Example 1: It is set that there is currently a part equipment machine to verify the quality of the part parameters, first collect data from several output ports of the current device to the input interface of the upper computer, and judge the collected data according to the level of the collected data Whether it is necessary to decrypt and verify the user identity of the currently collected data, and judge the integrity of the data stored in the data set after data migration, set the standard data integrity to 98%, when the integrity of the current data is detected to be less than the set value When the value is , it means that the current data is not complete, and it is necessary to check whether there is any data omission; when the integrity of the data is detected to be greater than 98%, the continuity of the data is judged, and the number of rows above the specified row number in the classification table is judged. The data content is not a null value, and the data c...