From t-closeness to differential privacy and vice versa in data anonymization

@article{DomingoFerrer2015FromTT,
  title={From t-closeness to differential privacy and vice versa in data anonymization},
  author={Josep Domingo-Ferrer and Jordi Soria-Comas},
  journal={Knowl.-Based Syst.},
  year={2015},
  volume={74},
  pages={151-158}
}
k-Anonymity and ε-differential privacy are two mainstream privacy models, the former introduced to anonymize data sets and the latter to limit the knowledge gain that results from including one individual in the data set. Whereas basic k-anonymity only protects against identity disclosure, t-closeness was presented as an extension of k-anonymity that also protects against attribute disclosure. We show here that, if not quite equivalent, t-closeness and ε-differential privacy are strongly… CONTINUE READING

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