A Multilevel Privacy Preservation Technique for Outsourced Database

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
In order to get the hidden knowledge from the dataset one has to apply the mining algorithms. But for hiding the knowledge these information the miner apply privacy preserving data mining algorithms are used. These techniques prevent the sensitive information by applying different methods of preservation. This paper focus on the enhancement of preserving the frequent association rules by providing the multilevel perturbation in the dataset and provide different level of separate copy for different server in order to increase the confusion of the dataset and those copy is irreversible.
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