A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes-Reference-Cited by-同舟云学术

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A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes

Published:2021-06 Issue: Volume:105 Page:102224
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Kanwal Tehsin,Anjum Adeel^ORCID,Malik Saif U.R.,Sajjad Haider,Khan Abid,Manzoor Umar,Asheralieva Alia^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference48 articles.

1. Geo-indistinguishability: differential privacy for location-based systems;Andrés,2013

2. An efficient approach for publishing microdata for multiple sensitive attributes;Anjum;The Journal of Supercomputing,2018

3. An efficient privacy mechanism for electronic health records;Anjum;computers & security,2018

4. P - sensitive K - anonymity with generalization constraints;Campan;Trans. DATA Priv.,2010

5. Decomposition+: improving ℓ-Diversity for Multiple Sensitive Attributes;Das,2012

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1. Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique;Egyptian Informatics Journal;2024-09

2. Semantic Tree Based PPDP Technique for Multiple Sensitive Attributes in Inter Cloud;SN Computer Science;2024-07-26

3. A Novel Framework for Preserving Patient Health Record in IoT Healthcare;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

4. Data privacy in the Internet of Things based on anonymization: A review;Journal of Computer Security;2023-05-29

5. Improved angelization technique against background knowledge attack for 1:M microdata;PeerJ Computer Science;2023-03-15

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