Package | Description |
---|---|
org.deidentifier.arx.criteria |
This package implements different variants of class-based privacy criteria,
such as k-anonymity, l-diversity, t-closeness and d-presence.
|
Modifier and Type | Class and Description |
---|---|
class |
BasicBLikeness
Basic-beta-Likeness:
Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012. |
class |
DDisclosurePrivacy
Delta-disclosure privacy as proposed in:
Justin Brickell and Vitaly Shmatikov: The Cost of Privacy: Destruction of Data-mining Utility in Anonymized Data Publishing Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2008 |
class |
DistinctLDiversity
The distinct l-diversity privacy criterion.
|
class |
EnhancedBLikeness
Enhanced-beta-Likeness:
Jianneng Cao, Panagiotis Karras: Publishing Microdata with a Robust Privacy Guarantee VLDB 2012. |
class |
EntropyLDiversity
The entropy l-diversity privacy model.
|
class |
EqualDistanceTCloseness
The t-closeness criterion with equal-distance EMD.
|
class |
HierarchicalDistanceTCloseness
The t-closeness criterion with hierarchical-distance EMD.
|
class |
LDiversity
An abstract base class for l-diversity criteria
Published in:
Machanavajjhala A, Kifer D, Gehrke J.
|
class |
OrderedDistanceTCloseness
The t-closeness criterion for ordered attributes.
|
class |
RecursiveCLDiversity
The recursive-(c,l)-diversity criterion.
|
class |
TCloseness
An abstract base class for t-closeness criteria as proposed in:
Li N, Li T, Venkatasubramanian S.
|