Data Linkage and Re-identification
A technique that matches anonymous data fragments from different sources through common identifiers to reconstruct an individual's identity and full behavioral profile, which AI makes automated and scalable.
Timeline (last 90 days)
Data linkage / re-identification refers to matching seemingly anonymous data fragments from different sources through common identifiers (such as device IDs, timestamps, location trajectories, and facial features) to reconstruct a person's identity and the full picture of their behavior.
A single dataset may be desensitized and appear harmless, but the intersection of multiple datasets greatly narrows the candidate pool, ultimately uniquely identifying a person.
All Facts (2)
Data linkage / re-identification refers to matching seemingly anonymous data fragments from different sources through common identifiers (such as device IDs, timestamps, location trajectories, and facial features) to reconstruct a person's identity and the full picture of their behavior.
50%UnverifiedA single dataset may be desensitized and appear harmless, but the intersection of multiple datasets greatly narrows the candidate pool, ultimately uniquely identifying a person.
50%