| Class | Description |
|---|---|
| HIPAAConstants |
Utility class providing access to important constants for finding HIPAA identifiers.
|
| HIPAAIdentifierMatch |
Provides information about the occurrence of an HIPPA identifier
|
| RiskEstimateBuilder |
A builder for risk estimates
|
| RiskEstimateBuilderInterruptible |
A builder for risk estimates, interruptible
|
| RiskModelAttributes |
A class for analyzing attribute-related risks.
|
| RiskModelCostBenefit |
This class implements a cost/benefit analysis following the game-theoretic approach proposed in:
A Game Theoretic Framework for Analyzing Re-Identification Risk. |
| RiskModelHistogram |
This class encapsulates information about equivalence classes in a data set
|
| RiskModelPopulationUniqueness |
Class for risks based on population uniqueness.
|
| RiskModelSampleRiskDistribution |
Class representing the distribution of risks in the sample
|
| RiskModelSampleRisks |
Class for analyzing re-identification risks of the current sample and mixed
risks which have been derived from privacy models
|
| RiskModelSampleSummary |
This class implements risk measures as proposed by El Emam in
"Guide to the De-Identification of Personal Health Information",
"Measuring the Probability of Re-Identification"
|
| RiskModelSampleSummary.JournalistRisk |
Journalist risk
|
| RiskModelSampleSummary.MarketerRisk |
Marketer risk
|
| RiskModelSampleSummary.ProsecutorRisk |
Prosecutor risk
|
| RiskModelSampleSummary.RiskSummary |
A set of derived risk estimates
|
| RiskModelSampleUniqueness |
Class for risks based on sample uniqueness
|
| RiskModelSampleWildcard |
This class implements risk measures as proposed by El Emam in
"Guide to the De-Identification of Personal Health Information",
"Measuring the Probability of Re-Identification" considering
suppressed values as a wildcard
|
| Enum | Description |
|---|---|
| HIPAAIdentifierMatch.HIPAAIdentifier |
Represents the HIPPA identifiers
|
| HIPAAIdentifierMatch.MatchType |
Represents the classifier for the HIPAA identifier.
|
| RiskModelPopulationUniqueness.PopulationUniquenessModel |
The statistical model used for computing Dankar's estimate.
|