An enhanced dynamic KC-slice model for privacy preserving data publishing with multiple sensitive attributes by inducing sensitivity-Reference-Cited by-同舟云学术

An enhanced dynamic KC-slice model for privacy preserving data publishing with multiple sensitive attributes by inducing sensitivity

Published:2022-01 Issue:1 Volume:34 Page:1394-1406
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Lakshmipathi Raju N.V.S.,Seetaramanath M.N.,Srinivasa Rao P.

Publisher

Elsevier BV

Subject

General Computer Science

Reference21 articles.

1. An efficient approach for publishing microdata for multiple sensitive attributes;Anjum;J. Supercomput.,2018

2. Decomposition+: improving l-diversity for multiple sensitive attributes;Das,2012

3. Introduction to Privacy-preserving Data Publishing: Concepts and Techniques;Fung,2010

4. A privacy protection model for patient data with multiple sensitive attributes;Gal;IGI Global,2008

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2. A Review on Privacy Preserving Data Mining Techniques and Applications;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28