M-Partition Privacy Scheme to Anonymizing Set-Valued Data

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Provided by: International Journal of Innovations in Engineering and Technology (IJIET)
Topic: Big Data
Format: PDF
In distributed databases there is an increasing need for sharing data that contain personal information. The existing system presented collaborative data publishing problem for anonymizing horizontally partitioned data at multiple data providers. M-privacy guarantees that anonymized data satisfies a given privacy constraint against any group of up to m colluding data providers. The heuristic algorithms exploiting monotonicity of privacy constraints for efficient checking of m-privacy for given group of records. The data provider-aware anonymization algorithm with adaptive m-privacy checking strategies to ensure high utility.
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