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Description: Pseudonymized Data.
pseudo pseudonymized data sharing (1)
Pseudonymization takes the most identifying fields within a database and replaces them with one or more artificial identifiers, or pseudonyms. For example a name is replaced with a unique number. The purpose is to render the data record less identifying and therefore reduce concerns with data retention and data sharing. The process can also be used as part of a Data Fading policy. Pseudonymized Data is typically used for analytics and data processing, often with the aim of improving processing efficiency.
The choice of which data fields are to be pseudonymized is sometimes subjective. Pseudonymized Data should include all fields that are highly selective, for example a social security or national insurance number. Less selective fields, such as birth date, zip code or postcode are often also included because they may retain sufficient detail to allow an Inference Attack, where such data is cross-referenced with other data sets, to reveal the replaced data. However pseudonymizing these less identifying fields
Pseudonymized Data is not the same as Anonymized Data. When data has been pseudonymized it still retains a level of detail in the replaced data that should allow tracking back of the data to its original state. With anonymized data the level of detail is reduced rendering a reverse compilation impossible.
Domain Names For Sale
Diffie-Hellman
American Chemical LTD – Just another WordPress site