de-anonymization

De-anonymization is the process of uncovering the true identities behind data that has been stripped of personal details. When organizations release datasets with limited information to protect privacy, data points like age, location, or activity patterns are often included instead of names. De-anonymization uses these clues, combined with other data sources, to match anonymous information to real individuals. This process can reveal private details that were meant to stay confidential, highlighting the importance of robust privacy protections in data sharing.