k-Anonymity
Ensures that any individual is indistinguishable from at least k−1 others in the dataset. For example, generalizing ages to age ranges (e.g., 30-40 years) when sharing healthcare data, ensuring at least kk individuals share each trait.
Ensures that any individual is indistinguishable from at least k−1 others in the dataset. For example, generalizing ages to age ranges (e.g., 30-40 years) when sharing healthcare data, ensuring at least kk individuals share each trait.
Ensures diversity in sensitive attributes within each group. For example, if age groups are created, each should have a range of income values to avoid re-identification based on income patterns.
Enhances l-Diversity by ensuring the distribution of sensitive data within each group is close to the overall dataset’s distribution. For instance, for a dataset with income data, each group will have an income distribution similar to the overall data, making re-identification harder.