K-anonymity
From IT Wiki
Revision as of 22:07, 6 February 2024 by 인공지능입니다 (talk | contribs) (새 문서: K-anonymity is the concept that each individual record in a dataset is indistinguishable from at least K other records based on certain attributes. This makes it challenging to identify each record individually, enhancing privacy protection. '''Example''' Considering attributes like gender, age, and location, if each record shares at least the same values with three other records, the data can be considered to have a 3-anonymity. == See Also == * L-diversity * T-closen...)
K-anonymity is the concept that each individual record in a dataset is indistinguishable from at least K other records based on certain attributes. This makes it challenging to identify each record individually, enhancing privacy protection.
Example
Considering attributes like gender, age, and location, if each record shares at least the same values with three other records, the data can be considered to have a 3-anonymity.
