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4. Anonymization templates
In its opinion on anonymization techniques , the G29 describes two main anonymization models: generalization and randomization. Both models have their advantages and disadvantages, and need to be adapted according to the need in question.
4.1 Randomization
Randomization covers a range of techniques whose aim is to reduce risk, either by adding dummy data, or by permuting real data. More specifically, the techniques used are: noise addition, permutation and differential confidentiality.
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Anonymization templates
Evaluation of data anonymization
Bibliography
Standards and norms
- ISO Technologie de l'information : technique de sécurité - ISO/IEC 29100 - 2011
Regulations
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation), OJEU L 119/1 of 4 May 2013, http://eur-lex.europa.eu/legal-content/FR/TXT/PDF/?uri=CELEX:32016R0679&from=FR...
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