Sensitive data discovery method and system based on text recognition
A sensitive data and text recognition technology, applied in the field of data security, can solve the problems of low accuracy and slow recognition of sensitive data, and achieve the effect of reducing interference, efficient judgment, and ensuring consistency
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Embodiment 1
[0069] This embodiment provides a sensitive data discovery method based on text recognition, such as figure 1 As shown, it specifically includes the following steps:
[0070] S01: Sample data extraction
[0071] Extract the standardized business data table within the specified time period (day / month) as the original sample data.
[0072] S02: Text annotation processing
[0073] Collect a large amount of text corpus, borrow text annotation tools, use the BIO annotation method to manually annotate key words in the text corpus, and construct a large number of training samples.
[0074] BIO labeling: label each element as "B-X", "I-X" or "O". Among them, "X" indicates the type of the label element, "B-X" indicates that the segment where this element is located belongs to type X and this element is at the beginning of this segment, "I-X" indicates that the segment where this element is located belongs to type X and this element is in this segment In the middle position, "O" mea...
Embodiment 2
[0104] Correspondingly, this embodiment also provides a sensitive data discovery system based on text recognition, which is characterized in that:
[0105] The sample data extraction module extracts the standardized business data table within a specified time as the original sample data;
[0106] Build a training sample module, collect text data sets, use text labeling tools to label keywords in the text data set, and build a large number of training samples; BIO labeling: label each element as "B-X", "I-X" or "O" . Among them, "X" indicates the type of the label element, "B-X" indicates that the segment where this element is located belongs to type X and this element is at the beginning of this segment, "I-X" indicates that the segment where this element is located belongs to type X and this element is in this segment In the middle position, "O" means not belonging to any type.
[0107]The training sample labeling model module, based on the obtained training samples, uses t...
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