Enforce k-anonymity on a synthetic dataset (output guarantee)

Shapes the synthetic output so that no quasi-identifier combination appears in fewer than k records. Direct identifiers are removed. Quasi-identifiers are coarsened step-by-step and any residual cell still below k has its QI values blanked (NA). Operates on the output only.

Usage

enforce_kanon(synthetic, roles, k = 5, max_steps = 6L, max_suppress_frac = 0.2)

Arguments

synthetic

A synthetic data frame.

roles

A roles object/data frame with variable + disclosure_role.

k

Minimum cell size (default 5).

max_steps

Maximum coarsening iterations (default 6).

max_suppress_frac

Feasibility backstop. If satisfying k over the quasi-identifier set would require blanking more than this fraction of rows, k-anonymity is treated as infeasible for the chosen QI set: the coarsening/suppression is not applied (it would destroy the dataset), the synthetic output is returned populated, and a warning advises narrowing the quasi-identifiers or lowering k. Default 0.2.

Value

The shaped synthetic data frame, with an attribute kanon recording the achieved state (smallest_cell, suppressed_cells, qi_cols, k, infeasible).