Achieving correlated differential privacy of big data publication-Reference-Cited by-同舟云学术

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Achieving correlated differential privacy of big data publication

Published:2019-05 Issue: Volume:82 Page:184-195
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Lv Denglong,Zhu Shibing

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference16 articles.

2. The algorithmic foundations of differential privacy;Dwork,2014

3. Differential privacy;Dwork,2006

4. Privacy-preserving access control model for big data cloud;Fugkeaw,2016

5. An Efficient and privacy-preserving similarity evaluation for big data analytics;Gheid,2016

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing protection in high-dimensional data: Distributed differential privacy with feature selection;Information Processing & Management;2024-11

2. May the privacy be with us: Correlated differential privacy in location data for ITS;Computer Networks;2024-03

3. Tackling Privacy Concerns in Correlated Big Data: A Comprehensive Review with Machine Learning Insights;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

4. Advances in Privacy Preservation Technologies;Privacy Computing;2024

5. Caldp: A Correlation-Aware Approach to Local Differential Privacy;2024

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