DI-Mondrian: Distributed improved Mondrian for satisfaction of the L-diversity privacy model using Apache Spark

Author:

Ashkouti Farough,khamforoosh KeyhanORCID,Sheikhahmadi Amir

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

1. Big privacy: challenges and opportunities of privacy study in the age of big data;Yu;IEEE Access,2016

2. Unique in the Crowd: the privacy bounds of human mobility;de Montjoye;Sci. Rep.,2013

3. Protection of big data privacy;Mehmood;IEEE Access,2016

4. On syntactic anonymity and differential privacy;Clifton;Trans. Data Privacy,2013

5. Information security in big data: privacy and data mining;Xu;IEEE Access,2014

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