Bijective data masking - 7.3

Data privacy

Version
7.3
Language
English (United States)
Product
Talend Big Data Platform
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Module
Talend Studio
Content
Data Governance > Third-party systems > Data Quality components > Data privacy components
Data Quality and Preparation > Third-party systems > Data Quality components > Data privacy components
Design and Development > Third-party systems > Data Quality components > Data privacy components
Bijective masking functions have the following characteristics:
  • They are consistent masking functions.
  • They are injective, meaning that they output two different masked values for two different input values.
  • They check that the input data is in a valid format. If the input value is valid, bijective masking functions output a valid value. If the input value is not valid, they output an invalid value or replace values with null, depending of the masking function used.
For example, the following diagram shows an example of how the tDataMasking component can mask data bijectively:
  • The A value is masked with D, regardless of the number of occurrences in the input dataset.
  • The B value is masked with E.
  • The C value is masked with F.