The Challenge of Re-Identification

Recent studies have highlighted the limitations of current data anonymization methods in reliably protecting privacy. Sophisticated algorithms can often re-identify individuals from datasets that have been anonymized, especially if attackers can cross-reference anonymized data with other publicly available data. This puts into question the real-world effectiveness of anonymization in the face of determined adversaries equipped with modern data analysis tools.