Linkage Attack

An attack that re-identifies individuals by joining anonymized data with external datasets on shared quasi-identifiers. Sweeney (2000) demonstrated that 87% of the US population is uniquely identifiable by {ZIP code, gender, date of birth}. Risk assessment simulates these attacks using Monte Carlo methods with synthetic adversary datasets.