“k-anonymity and quasiidentifiers -- 2

Data anonymization is a process that takes data pertaining to certain users and removes identifying information. One technique for data anonymization is called “k-anonymity.” In this technique, unique identifiers are completely removed, and some data that could lead to identification (called quasiidentifiers) are generalized (replaced with a less-specific value). A data set is said to be k-anonymous if every query involving quasi-identifiers returns either zero or at least k rows.