Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
privacy model
|
| gptkbp:appliesTo |
tabular data
|
| gptkbp:defines |
A dataset has k-anonymity if each record is indistinguishable from at least k-1 other records with respect to certain identifying attributes.
|
| gptkbp:goal |
prevent re-identification of individuals in datasets
|
| https://www.w3.org/2000/01/rdf-schema#label |
k-anonymity
|
| gptkbp:introduced |
gptkb:Latanya_Sweeney
|
| gptkbp:introducedIn |
1998
|
| gptkbp:limitation |
vulnerable to background knowledge attack
vulnerable to homogeneity attack |
| gptkbp:notableAchievement |
generalization
suppression |
| gptkbp:relatedTo |
gptkb:l-diversity
gptkb:t-closeness differential privacy |
| gptkbp:requires |
quasi-identifiers
|
| gptkbp:usedIn |
data anonymization
privacy-preserving data publishing |
| gptkbp:bfsParent |
gptkb:Differential_Privacy
|
| gptkbp:bfsLayer |
5
|