How does k-anonymity help safeguard privacy in microdata sets?
K-anonymity limits linkage through quasi-identifiers by ensuring that each equivalence class of matching identifying attributes contains at least k records. Thus, a record cannot be singled out from fewer than k individuals with the same quasi-identifier values.
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