T-closeness: Difference between revisions
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(새 문서: T-closeness aims to make the distribution of sensitive information within a group similar to the distribution of sensitive information for an individual record. It minimizes the difference between the sensitive information of an individual and the overall distribution within the group. '''Example''' If the sensitive information distribution within a group closely resembles the distribution of an individual's sensitive information, the data can be considered to satisfy T-closen...) |
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T-closeness aims to make the distribution of sensitive information within a group similar to the distribution of sensitive information for an individual record. It minimizes the difference between the sensitive information of an individual and the overall distribution within the group. | T-closeness aims to '''make the distribution of sensitive information''' within a group similar to the distribution of sensitive information for an individual record. It minimizes the difference between the sensitive information of an individual and the overall distribution within the group. | ||
'''Example''' | '''Example''' | ||
Latest revision as of 22:09, 6 February 2024
T-closeness aims to make the distribution of sensitive information within a group similar to the distribution of sensitive information for an individual record. It minimizes the difference between the sensitive information of an individual and the overall distribution within the group.
Example
If the sensitive information distribution within a group closely resembles the distribution of an individual's sensitive information, the data can be considered to satisfy T-closeness.
