CN-115630210-B - Data processing method, device, equipment and storage medium

CN115630210BCN 115630210 BCN115630210 BCN 115630210BCN-115630210-B

Abstract

The embodiment of the invention discloses a data processing method, a device, equipment and a storage medium. The method comprises the steps of obtaining upstream classification information and upstream classification information of data at an upstream node, obtaining blood-edge propagation information of the data propagated from the upstream node to a current node, determining a data propagation mode according to the blood-edge propagation information, and adjusting the upstream classification information and the upstream classification information according to the data propagation mode to obtain current classification information and current classification information of the data at the current node. According to the technical scheme, the accuracy of data classification and data classification can be improved.

Inventors

YANG WEI
LIU WANGGEN

Assignees

河南星环众志信息科技有限公司
星环信息科技(上海)股份有限公司

Dates

Publication Date: 20260505
Application Date: 20221012

Claims (9)

1. A method of data processing, comprising: acquiring upstream classification information and upstream classification information of data of an upstream node, wherein the upstream classification information is class information of the data of the upstream node; Acquiring blood-edge propagation information of data propagated from an upstream node to a current node; determining a data transmission mode according to the blood margin transmission information; adjusting the upstream classification information and the upstream classification information according to the data transmission mode to obtain current classification information and current classification information of the data at the current node; the data propagation mode comprises any one of direct assignment propagation, indirect assignment propagation, aggregation operation propagation, mask processing propagation, encryption processing propagation, reversible operation function processing propagation and irreversible operation function processing propagation; Adjusting the upstream classification information and the upstream classification information according to the data propagation mode, including: The upstream classification information is directly used as the current classification information of the current node; if the propagation mode is direct assignment propagation or indirect assignment propagation, the upstream hierarchical information is directly used as current hierarchical information of the current node; If the propagation mode is mask processing propagation or encryption processing propagation, the upstream grading information is regulated down to obtain current grading information; if the propagation mode is aggregation operation propagation, the upstream classification information is turned up or down according to the service characteristics of the aggregation operation propagation, and current classification information is obtained; If the propagation mode is irreversible operation function processing propagation, the upstream classification information is reduced, and current classification information is obtained; And if the propagation mode is reversible operation function processing propagation, the upstream classification information is reduced according to the reversible difficulty, and the current classification information is obtained.
2. The method of claim 1, further comprising obtaining upstream hierarchical confidence of the data at the previous node; Determining an adjustment factor according to the propagation mode; And adjusting the upstream hierarchical confidence according to the adjustment factor to obtain the current hierarchical confidence of the current node.
3. The method of claim 2, wherein determining an adjustment factor based on the propagation mode comprises: Determining a table-level blood-margin influencing factor, a field-level blood-margin influencing factor and a field-propagation influencing factor according to the propagation mode; And carrying out weighted summation on the table-level blood-edge influence factors, the field-level blood-edge influence factors and the field propagation influence factors to obtain adjustment factors.
4. The method of claim 2, wherein adjusting the upstream hierarchical confidence level based on the adjustment factor to obtain a current hierarchical confidence level for a current node comprises: and multiplying the upstream hierarchical confidence with the adjustment factor to obtain the current hierarchical confidence of the current node.
5. The method as recited in claim 1, further comprising: If the data of the current node come from a plurality of upstream nodes; classifying and grading the data of the current node in a scanning mode.
6. The method of claim 1, wherein obtaining upstream classification information and upstream classification information for the data at the upstream node comprises: Acquiring scanned data of a current node; Acquiring data of an upstream node based on the scanned data; Upstream classification information and upstream classification information of the data at the upstream node are determined.
7. A data processing apparatus, comprising: The system comprises a first information acquisition module, a first information processing module and a second information processing module, wherein the first information acquisition module is used for acquiring upstream classification information and upstream classification information of data of an upstream node, wherein the upstream classification information is class information of the data of the upstream node; the second information acquisition module is used for acquiring blood-margin propagation information of data propagated from an upstream node to a current node; the propagation mode determining module is used for determining a data propagation mode according to the blood margin propagation information; The information adjustment module is used for adjusting the upstream classification information and the upstream classification information according to the data transmission mode to obtain current classification information and current classification information of the data at the current node; the data propagation mode comprises any one of direct assignment propagation, indirect assignment propagation, aggregation operation propagation, mask processing propagation, encryption processing propagation, reversible operation function processing propagation and irreversible operation function processing propagation; the information adjustment module is specifically configured to: The upstream classification information is directly used as the current classification information of the current node; if the propagation mode is direct assignment propagation or indirect assignment propagation, the upstream hierarchical information is directly used as current hierarchical information of the current node; If the propagation mode is mask processing propagation or encryption processing propagation, the upstream grading information is regulated down to obtain current grading information; if the propagation mode is aggregation operation propagation, the upstream classification information is turned up or down according to the service characteristics of the aggregation operation propagation, and current classification information is obtained; If the propagation mode is irreversible operation function processing propagation, the upstream classification information is reduced, and current classification information is obtained; And if the propagation mode is reversible operation function processing propagation, the upstream classification information is reduced according to the reversible difficulty, and the current classification information is obtained.
8. An electronic device, the electronic device comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method of any one of claims 1-6.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the data processing method of any one of claims 1-6 when executed.

Description

Data processing method, device, equipment and storage medium Technical Field The embodiment of the invention relates to the technical field of data processing, in particular to a data processing method, a device, equipment and a storage medium. Background Classifying and securely grading data is an important element in data processing, and a general method is to identify and grade data by scanning the data. The data can be deformed or aggregated in the process of analysis and calculation, so that the scanning recognition program can hardly and accurately recognize the sensitive data, and the classification and grading result is inaccurate. Disclosure of Invention The embodiment of the invention provides a data processing method, a device, equipment and a storage medium, which can improve the accuracy of data classification and data classification. According to an aspect of the present invention, an embodiment of the present invention provides a data processing method, including: Acquiring upstream classification information and upstream classification information of data at an upstream node; Acquiring blood-edge propagation information of data propagated from an upstream node to a current node; determining a data transmission mode according to the blood margin transmission information; and adjusting the upstream classification information and the upstream classification information according to the data transmission mode to obtain the current classification information and the current classification information of the data at the current node. Optionally, the data propagation mode comprises any one of direct assignment propagation, indirect assignment propagation, aggregation operation propagation, mask processing propagation, encryption processing propagation, reversible operation function processing propagation and irreversible operation function processing propagation. Optionally, the adjusting the upstream classification information and the upstream classification information according to the data propagation mode includes: The upstream classification information is directly used as the current classification information of the current node; if the propagation mode is direct assignment propagation or indirect assignment propagation, the upstream hierarchical information is directly used as current hierarchical information of the current node; If the propagation mode is mask processing propagation or encryption processing propagation, the upstream grading information is regulated down to obtain current grading information; if the propagation mode is aggregation operation propagation, the upstream classification information is turned up or down according to the service characteristics of the aggregation operation propagation, and current classification information is obtained; If the propagation mode is irreversible operation function processing propagation, the upstream classification information is reduced, and current classification information is obtained; And if the propagation mode is reversible operation function processing propagation, the upstream classification information is reduced according to the reversible difficulty, and the current classification information is obtained. Optionally, the method further comprises the steps of obtaining the upstream hierarchical confidence of the data in the last node; Determining an adjustment factor according to the propagation mode; And adjusting the upstream hierarchical confidence according to the adjustment factor to obtain the current hierarchical confidence of the current node. Optionally, determining the adjustment factor according to the propagation mode includes: Determining a table-level blood-margin influencing factor, a field-level blood-margin influencing factor and a field-propagation influencing factor according to the propagation mode; And carrying out weighted summation on the table-level blood-edge influence factors, the field-level blood-edge influence factors and the field propagation influence factors to obtain adjustment factors. Optionally, adjusting the upstream hierarchical confidence according to the adjustment factor to obtain a current hierarchical confidence of the current node, including: and multiplying the upstream hierarchical confidence with the adjustment factor to obtain the current hierarchical confidence of the current node. Optionally, the method further comprises: If the data of the current node come from a plurality of upstream nodes; classifying and grading the data of the current node in a scanning mode. Optionally, acquiring upstream classification information and upstream classification information of the data at the upstream node includes: Acquiring scanned data of a current node; Acquiring data of an upstream node based on the scanned data; Upstream classification information and upstream classification information of the data at the upstream node are determined. According to another aspect of the present inve