Hello, you are using an old browser that's unsafe and no longer supported. Please consider updating your browser to a newer version, or downloading a modern browser.
Training Camp • Cybersecurity Glossary
Data anonymization irreversibly removes identifiers so individuals cannot be re-identified, using methods like k-anonymity and generalization.
Data Anonymization Definition: Data anonymization irreversibly removes identifiers so individuals cannot be re-identified, using methods like k-anonymity and generalization.
Data anonymization is the process of irreversibly transforming personal data so that individuals can no longer be identified, directly or indirectly, even by the data controller. Techniques include generalization, suppression, perturbation, and aggregation, with models such as k-anonymity, l-diversity, and t-closeness used to measure re-identification risk. Truly anonymized data typically falls outside the scope of regulations like the GDPR, unlike pseudonymized data which remains personal data.
Data Anonymization is one of the topics you'll master in the CDPSE Boot Camp.
CDPSE Boot Camp →