FIELD: computer technology.
SUBSTANCE: invention relates to the field of computer technology for identifying confidential information. Received data is processed using an ensemble of neural networks, during which data in each cell of a table is assigned a tag corresponding to a given type of confidential information, wherein a classification matrix is formed for each neural network, based on which an F-measure is calculated for each data type; received data is processed using algorithms for determining control digits to identify data in cells of the table that have a control digit; each cell in the table is classified based on tables with tags received from each neural network and the matrix of F-measures corresponding to neural networks, and a final table with tags is formed, taking into account data with a control digit; summary table data is classified by confidentiality classes based on a comparison of tags of the summary table with the specified tags of confidential information.
EFFECT: increase in the accuracy of classification of confidential information.
4 cl, 8 dwg
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Authors
Dates
2021-11-17—Published
2019-07-05—Filed