We describe the artifact, publicly available at [1], that implements the proposal in [2], and the reproduction of the experimental results. It is an extended and distributed version of the Mondrian anonymization algorithm. Our solution anonymizes large datasets by partitioning data among workers in a distributed setting. It provides parallel execution on a dynamically chosen number of workers, limiting their interaction and data exchange.
(2021). Artifact: Scalable Distributed Data Anonymization . Retrieved from http://hdl.handle.net/10446/202630
Artifact: Scalable Distributed Data Anonymization
Facchinetti, Dario;Oldani, Gianluca;Paraboschi, Stefano;Rossi, Matthew;
2021-01-01
Abstract
We describe the artifact, publicly available at [1], that implements the proposal in [2], and the reproduction of the experimental results. It is an extended and distributed version of the Mondrian anonymization algorithm. Our solution anonymizes large datasets by partitioning data among workers in a distributed setting. It provides parallel execution on a dynamically chosen number of workers, limiting their interaction and data exchange.File allegato/i alla scheda:
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