The correct answer is A. By ensuring that every record in a set is part of a group of "k" records having similar identifying information.
K-anonymity is a method used to protect privacy in microdata sets by ensuring that each record is indistinguishable from at least
k
−
1
k−1 other records with respect to certain identifying attributes. This means that any single record cannot be uniquely identified within the dataset, as it shares the same values for key identifying fields with at least
k
k other records. This reduces the risk of re-identification of individuals within the dataset.
k-anonymity relies on the creation of generalized, truncated, or redacted quasi-identifiers as replacements for direct identifiers such that a given minimum number (“k”) of individuals in a data set have the same identifier
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