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java.lang.Objectanonymizer.Anonymizer
anatomy.Anatomy
public class Anatomy
Implementation of the Anatomy anonymization algorithm. For details on Anatomy, please refer to the following paper:
@inproceedings{anatomy, author = {Xiao, Xiaokui and Tao, Yufei}, title = {Anatomy: simple and effective privacy preservation}, booktitle = {VLDB '06: Proceedings of the 32nd international conference on Very large data bases}, year = {2006}, pages = {139--150}, location = {Seoul, Korea}, publisher = {VLDB Endowment} }The algorithm is described in Section 5.2 of the paper. The specific l-diversity definition supported by the algorithm is quite different than those described in the l-diversity paper. The output produces equivalence classes of size at least l, each of which contains at least l distinct sensitive values. Only integer valued l values are acceptable. Constructor performs the necessary check, and convert l to an integer value if needed. Property I of Section 5.2 in the paper mentions an eligibility condition. If this condition does not hold with the input dataset, the algorithm simply throws an exception and exits.
Field Summary |
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Fields inherited from class anonymizer.Anonymizer |
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anonTable, conf, eqTable, sqlwrapper, suppressionThreshold |
Constructor Summary | |
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Anatomy(Configuration conf)
Class constructor |
Method Summary | |
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void |
anonymize()
Anonymizing the input. |
void |
changeLDiversityRequirement(double newLvalue)
Overwrites the privacy parameter l |
protected AnonRecordTable |
createAnonRecordsTable(java.lang.String tableName)
Create anonRecords table |
protected EquivalenceTable |
createEquivalenceTable(java.lang.String tableName)
Create equivalence table |
private void |
decrementFirstLCounts(AttValueCount[] counts,
double l)
Decrements the counts of the first l most frequent sensitive attribute values |
private boolean |
existsLNonEmptyBuckets(AttValueCount[] counts,
double l)
Check if there are at least l non-empty buckets of sensitive attribute values (iteration condition) |
protected void |
insertTupleToAnonTable(java.lang.String[] vals,
long eid)
Insert a tuple to the anonRecords table |
protected long |
insertTupleToEquivalenceTable(java.lang.String[] vals)
Insert a tuple to the equivalence table |
Methods inherited from class anonymizer.Anonymizer |
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anonymizeDataset, anonymizeDataset, isReadyForSuppression, main, outputResults_Anatomy, outputResults_GenVals, outputResults_GenValsDist, outputResults, readData, suppressEquivalences |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public Anatomy(Configuration conf) throws java.lang.Exception
conf
- Configuration instance
java.lang.Exception
Method Detail |
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public void changeLDiversityRequirement(double newLvalue)
newLvalue
- New value of lprotected EquivalenceTable createEquivalenceTable(java.lang.String tableName)
createEquivalenceTable
in class Anonymizer
tableName
- Name of the table
protected AnonRecordTable createAnonRecordsTable(java.lang.String tableName)
createAnonRecordsTable
in class Anonymizer
tableName
- Name of the table
protected long insertTupleToEquivalenceTable(java.lang.String[] vals) throws java.lang.Exception
insertTupleToEquivalenceTable
in class Anonymizer
vals
- All values of the tuple to be inserted (as read from the source, i.e., before any generalization)
java.lang.Exception
protected void insertTupleToAnonTable(java.lang.String[] vals, long eid) throws java.lang.Exception
insertTupleToAnonTable
in class Anonymizer
vals
- All values of the tuple to be inserted (as read from the source, i.e., before any generalization)eid
- Equivalence id of the equivalence to which the tuple belongs
java.lang.Exception
public void anonymize() throws java.lang.Exception
anonymize
in class Anonymizer
java.lang.Exception
private void decrementFirstLCounts(AttValueCount[] counts, double l)
counts
- Counts of each sensitive attribute valuel
- Privacy parameter lprivate boolean existsLNonEmptyBuckets(AttValueCount[] counts, double l)
counts
- Counts of each sensitive attribute valuel
- Privacy parameter l
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