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Governance, Risk, Audit & Privacy · Advanced

k-Anonymity

Privacy model ensuring each record is indistinguishable from at least k-1 others on quasi-identifiers.

Definition

k-Anonymity uses generalization and suppression of quasi-identifiers so that every combination appears at least k times. It does not protect against homogeneity or background knowledge attacks, which l-diversity and t-closeness address.

Example

Ages are generalized into 10-year bands and ZIP codes truncated so each group contains at least five people.

Exam tip

k-Anonymity alone does not prevent attribute disclosure; l-diversity improves it.

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