ISO/IEC 20889:2018
Current
The latest, up-to-date edition.
Privacy enhancing data de-identification terminology and classification of techniques
Hardcopy , PDF
English
06-11-2018
This document provides a description of privacy-enhancing data de-identification techniques, to be used to describe and design de-identification measures in accordance with the privacy principles in ISO/IEC 29100.
In particular, this document specifies terminology, a classification of de-identification techniques according to their characteristics, and their applicability for reducing the risk of re-identification.
This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are PII controllers or PII processors acting on a controller's behalf, implementing data de-identification processes for privacy enhancing purposes.
| DocumentType |
Standard
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| Pages |
46
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| ProductNote |
THIS STANDARD ALSO REFERS TO : ISO/IEC 10118 (all parts),ISO/IEC 11770 (all parts),ISO/IEC 18033 (all parts),ISO/IEC 19592 (all parts),ISO/IEC JTC 1/SC 27
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| PublisherName |
International Organization for Standardization
|
| Status |
Current
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| Standards | Relationship |
| NEN-ISO/IEC 20889:2018 | Identical |
| BS ISO/IEC 20889:2018 | Identical |
| CSA ISO/IEC 20889:19 (R2024) | Identical |
| INCITS/ISO/IEC 20889:2018 (2019) | Identical |
| SS-ISO/IEC 20889:2023 | Identical |
| INCITS/ISO/IEC 20889:2018(R2024) | Identical |
| INCITS/ISO/IEC 20889:2018(R2024) | Identical |
| I.S. EN ISO/IEC 27701:2021 | Security techniques - Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management - Requirements and guidelines (ISO/IEC 27701:2019) |
| INCITS/ISO/IEC 27562:2024(2025) | Information technology — Security techniques — Privacy guidelines for fintech services |
| CEI UNI EN ISO/IEC 27002:2023 | Information security, cybersecurity and privacy protection - Information security controls |
| CEI UNI EN ISO/IEC 23053:2023 | Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) |
| SA/SNZ TR ISO/IEC 38505.2:2019 | Information technology - Governance of IT - Governance of data Implications of ISO/IEC 38505-1 for data management |
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