What Are the Key Factors Influencing Re-Identification Risk?
Several factors influence the risk of re-identification: - Data Granularity: Highly detailed data increases re-identification risks. - Dataset Size: Smaller datasets with unique combinations of attributes are more prone to re-identification. - Linkability: The ability to link anonymized data with other datasets increases the risk. - External Data Availability: The more external data available, the higher the risk of re-identification.
