Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing-Reference-Cited by-同舟云学术

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Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing

Published:2013 Issue:02 Volume:04 Page:101-112
ISSN:2153-1234
Container-title:Journal of Information Security
language:
Short-container-title:JIS

Author:

Hussien Abou-el-ela Abdou,Hamza Nermin,Hefny Hesham A.

Publisher

Scientific Research Publishing, Inc.

Cited by 16 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. Score, Arrange, and Cluster: A Novel Clustering-Based Technique for Privacy-Preserving Data Publishing;IEEE Access;2024

2. An anonymization-based privacy-preserving data collection protocol for digital health data;Frontiers in Public Health;2023-03-03

3. A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle;IEEE Access;2023

4. Robustness of k-Anonymization Model in Compliance with General Data Protection Regulation;2022 5th International Conference on Computing and Big Data (ICCBD);2022-12-16

5. Utility-Aware Data Anonymization Model for Healthcare Information;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

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