La Préservation De La Confidentialité Pour La Publication Des Données Dynamiques

Résumé: Many organizations require the collection and sharing of the data containing personal information. The privacy of this data must be preserved before outsourcing to the commercial public, i.e. any sensitive information should not be disclosed. Privacy preserving data publishing PPDP refers to the process of publishing useful information while preserving data privacy. In practical applications, data publishing is more complicated where the organizations publish a multiple times for different recipients or after modifications (insertions, deletions or update). Privacy preserving dynamic data publication PPDDP is a new process in privacy preservation which addresses the anonymization of the data for different purposes. In this paper, we will study the m-invariance technique that maintains the anonymization of dynamic data

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