Definitions for pseudonymization
pseudonymiza·tion

WiktionaryRate this definition:0.0 / 0 votes

1. pseudonymizationnoun

   The replacement of all data (in a database etc) that identifies a person with an artificial identifier

WikipediaRate this definition:0.0 / 0 votes

1. Pseudonymization

   Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers, or pseudonyms. A single pseudonym for each replaced field or collection of replaced fields makes the data record less identifiable while remaining suitable for data analysis and data processing. Pseudonymization (or pseudonymisation, the spelling under European guidelines) is one way to comply with the European Union's new General Data Protection Regulation (GDPR) demands for secure data storage of personal information. Pseudonymized data can be restored to its original state with the addition of information which allows individuals to be re-identified. In contrast, anonymization is intended to prevent re-identification of individuals within the dataset.

WikidataRate this definition:0.0 / 0 votes

1. Pseudonymization

   Pseudonymization is a procedure by which the most identifying fields within a data record are replaced by one or more artificial identifiers. There can be a single pseudonym for a collection of replaced fields or a pseudonym per replaced field. The purpose is to render the data record less identifying and therefore lower customer or patient objections to its use. Data in this form is suitable for extensive analytics and processing. The choice of which data fields are to be pseudonymized is partly subjective, but should include all fields that are highly selective, NHS number for example. Less selective fields, such as Birth Date or Postal Code are often also included because they are usually available from other sources and therefore make a record easier to identify. Pseudonymizing these less identifying fields removes most of their analytic value and should therefore be accompanied by the introduction of new derived and less identifying forms, such as Year of Birth or a larger Postal Code region. Data fields that are less identifying, such as Date of Attendance, are usually not pseudonymized. It is important to realize that this is because too much statistical utility is lost in doing so, not because the data cannot be identified. For example given prior knowledge of a few attendance dates it is easy to identify someone's data in a pseudonymized dataset by selecting only those people with that pattern of dates. This is an example of an Inference attack.

How to pronounce pseudonymization?

1. Alex

   US English

   David

   US English

   Mark

   US English

   Daniel

   British

   Libby

   British

   Mia

   British

   Karen

   Australian

   Hayley

   Australian

   Natasha

   Australian

   Veena

   Indian

   Priya

   Indian

   Neerja

   Indian

   Zira

   US English

   Oliver

   British

   Wendy

   British

   Fred

   US English

   Tessa

   South African

How to say pseudonymization in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of pseudonymization in Chaldean Numerology is: 6

2. Pythagorean Numerology

   The numerical value of pseudonymization in Pythagorean Numerology is: 1

References

1. ^ Wiktionary
   https://en.wiktionary.org/wiki/Pseudonymization
2. ^ Wikipedia
   https://en.wikipedia.org/wiki/Pseudonymization
3. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=pseudonymization