What is pseudonymization and how does it work?
Pseudonymization is a data processing technique that replaces private identifiers with fake identifiers or pseudonyms. This helps protect personal data while still allowing for data analysis.
What are the benefits of using pseudonymization?
The benefits include enhanced privacy protection, compliance with data protection regulations, and the ability to analyze data without exposing personal information.
Can you give me an example of pseudonymization in practice?
Sure! In healthcare, patient names might be replaced with unique codes in research studies, allowing researchers to analyze data without revealing identities.
Is pseudonymization the same as anonymization?
No, they are different. Anonymization irreversibly removes personal identifiers, while pseudonymization allows for re-identification under certain conditions.
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