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k‑Anonymity
Anonymization
A rule: you should blend into a group of at least k people.
Definition
k‑anonymity means a dataset is processed so each person looks like at least k other people in key fields.
In plain English
A rule: you should blend into a group of at least k people.
Why this matters
Why it matters: It reduces the chance of re-identifying someone from a dataset.
Example
Example: If k=10, your “age+zip code” combination should match at least 10 people.