KC-Slice: A dynamic privacy-preserving data publishing technique for multisensitive attributes

Abstract

Privacy preservation methods for anonymizing multiple sensitive attributes (MSA) data in the field of privacy-preserving data publishing (PPDP) mostly seek enforcement of the i-diversity privacy model on MSA coupled with quasi-identifier (QID) generalization and tuple suppression, resulting in high data degradation of the published releases. Most existing… (More)
DOI: 10.1080/19393555.2017.1319522

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Cite this paper

@article{Onashoga2017KCSliceAD, title={KC-Slice: A dynamic privacy-preserving data publishing technique for multisensitive attributes}, author={Saidat Adebukola Onashoga and B. A. Bamiro and Adio T. Akinwale and J. A. Oguntuase}, journal={Information Security Journal: A Global Perspective}, year={2017}, volume={26}, pages={121-135} }