A survey of privacy-preserving mechanisms for heterogeneous data types

DOI10.1016/j.cosrev.2021.100403zbMath1486.68056OpenAlexW3165142516WikidataQ126210431 ScholiaQ126210431MaRDI QIDQ2668381

Mariana Cunha, João P. Vilela, Ricardo A. E. Mendes

Publication date: 4 March 2022

Published in: Computer Science Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cosrev.2021.100403

zbMATH Keywords

privacyheterogeneous data typesprivacy taxonomyprivacy toolsprivacy-preserving mechanisms

Mathematics Subject Classification ID

Research exposition (monographs, survey articles) pertaining to computer science (68-02) Privacy of data (68P27)

Uses Software

• sdcMicro
• PrivateLR
• ARGUS
• GitHub
• sdcTools
• RAPPOR
• ARX
• Anonimatron
• PrivKV
• ACCIO
• Aircloak
• iPrivacy

Cites Work

• Unnamed Item
• Private searching on streaming data
• What Can We Learn Privately?
• The Algorithmic Foundations of Differential Privacy
• Differential Privacy: A Survey of Results
• T-Closeness Slicing: A New Privacy-Preserving Approach for Transactional Data Publishing
• Fully homomorphic encryption using ideal lattices
• Advances in Cryptology - EUROCRYPT 2004
• Private Searching on Streaming Data
• Data and Applications Security XIX
• Theory of Cryptography
• Differential Privacy

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