Partition Based Perturbation for Privacy Preserving Distributed Data Mining
Data mining on vertically or horizontally partitioned dataset has the overhead of protecting the private data. Perturbation is a technique that protects the revealing of data. This paper proposes a perturbation and anonymization technique that is performed on the vertically partitioned data. A third...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2017-06-01
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Series: | Cybernetics and Information Technologies |
Subjects: | |
Online Access: | https://doi.org/10.1515/cait-2017-0015 |