Classification utility aware data stream anonymization-Reference-Cited by-同舟云学术

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Classification utility aware data stream anonymization

Published:2021-10 Issue: Volume:110 Page:107743
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sopaoglu Ugur,Abul Osman^ORCID

Publisher

Elsevier BV

Subject

Software

Reference36 articles.

1. K-anonymity: A model for protecting privacy;Sweeney;Int. J. Uncertain. Fuzziness Knowl.-Based Syst.,2002

2. L-diversity: Privacy beyond k-anonymity;Machanavajjhala,2006

3. T-closeness: Privacy beyond k-anonymity and l-diversity;Li,2007

4. (α, k)-anonymous data publishing;Wong;J. Intell. Inf. Syst.,2009

5. Top-down specialization for information and privacy preservation;Fung,2005

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1. A dynamic anonymization privacy-preserving model based on hierarchical sequential three-way decisions;Information Sciences;2025-01

2. Research on Local Fingerprint Image Differential Privacy Protection Method Based on Clustering Algorithm and Regression Algorithm Segmentation Image;IEEE Access;2024

3. Towards Guaranteed Privacy in Stream Processing: Differential Privacy for Private Pattern Protection;Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems;2023-06-27

4. Differential Privacy for Protecting Private Patterns in Data Streams;2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW);2023-04

5. Group Privacy: An Underrated but Worth Studying Research Problem in the Era of Artificial Intelligence and Big Data;Electronics;2022-04-30

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