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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 2, 2022.
Abstract: In the present scenario, due to regulations of data privacy, sharing of data with other organization for research or any medical purpose becomes a big hindrance for different healthcare organizations. To preserve the privacy of patients seems like a crucial challenge for Healthcare Centre. Numerous techniques are used to preserve the privacy such as perturbation, anonymization, cryptography, etc. Anonymization is well known practical solution of this problem. A number of anonymization methods have been proposed by researchers. In this paper, an improved approach is proposed which is based on k-anonymity and differential privacy approaches. The purpose of proposed approach is to prevent the dataset from re-identification risk more effectively from linking attacks using generalization and suppression techniques.
Ritu Ratra, Preeti Gulia and Nasib Singh Gill, “Evaluation of Re-identification Risk using Anonymization and Differential Privacy in Healthcare” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130266
@article{Ratra2022,
title = {Evaluation of Re-identification Risk using Anonymization and Differential Privacy in Healthcare},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130266},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130266},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Ritu Ratra and Preeti Gulia and Nasib Singh Gill}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.