DP-QIC: A differential privacy scheme based on quasi-identifier classification for big data publication-Reference-Cited by-同舟云学术

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DP-QIC: A differential privacy scheme based on quasi-identifier classification for big data publication

Published:2021-03-12 Issue:11 Volume:25 Page:7325-7339
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chen Si,Fu Anmin^ORCID,Yu Shui,Ke Haifeng,Su Mang

Funder

National Natural Science Foundation of China

the Guangxi Key Laboratory of Trusted Software

Special project of ”Higher Education Informatization Research” of China Higher Education Association

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-05692-7.pdf

Reference40 articles.

1. Abdrashitov A, Spivak A (2016) Sensor data anonymization based on genetic algorithm clustering with L-Diversity. In: 18th Conference of open innovations association and seminar on information security and protection of information technology (FRUCT-ISPIT), Petersburg, Russia, pp. 3-8

2. Al-Janabi S (2020) Smart system to create an optimal higher education environment using IDA and IOTs. Int J Comput Appl 42(3):244–259. https://doi.org/10.1080/1206212X.2018.1512460

3. Al-Janabi S, Alkaim AF (2020) A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation. Soft Comput 23(1):555–569. https://doi.org/10.1007/s00500-019-03972-x

4. Al-Janabi S, Mahdi MA (2019) Evaluation prediction techniques to achievement an optimal biomedical analysis. Int. J. Grid Util Comput 10(5):512–527. https://doi.org/10.1504/IJGUC.2019.10020511

5. Al-Janabi S, Mohammad M, Yousif AY (2020) A new method for prediction of air pollution based on intelligent computation. Soft Comput 24:661–680. https://doi.org/10.1007/s00500-019-04495-1

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2. Docflow: Supervised Multi-Method Document Anonymization Engine;2023 IEEE Symposium on Computers and Communications (ISCC);2023-07-09

3. A Survey on Differential Privacy for Medical Data Analysis;Annals of Data Science;2023-06-10

4. Preserving the Privacy of Dependent Tuples Using Enhanced Differential Privacy;HUM-CENT COMPUT INFO;2022

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