Cited by 149Privacy-Preserving Technologies in DataCloud Data Security SolutionsInternet Traffic Analysis and Secure E-voting

Enhancing data utility in differential privacy via microaggregation-based $$k$$ k -anonymity

Soria-Comas, Jordi, Domingo-Ferrer, Josep, Sánchez, David, Martínez, Sergio·2014·The VLDB Journal

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Crossref · 10.1007/s00778-014-0351-4

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64 of 64 references verified0 citation errors · 0 not checkable

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  • The state-of-the-art schemes in medical data areas rely more or less on the adoption of certain cryptographic primitives to implement authentication, access control, key management, and privacy protection for medical information.

    “The state-of-the-art schemes [30], [47]- [52], [55], [57] in medical data areas rely more or less on the adoption of certain cryptographic primitives to implement authentication, access control, key management, and privacy protection for medical information.”

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Authors
Soria-Comas, J., Domingo-Ferrer, J., Sánchez, D., & Martínez, S.
Affiliations
Universitat Rovira i Virgili (ES)
Corresponding author
Sánchez, David
Venue
The VLDB Journal
Published
2014-02-13
Volume
23
Issue
5
Pages
771-794
ISSN
  • 0949-877X (ISSN-L)
  • 1066-8888
OpenAlex
W1992286709
Cited by
149
References
64
Citations by year
2026: 3 · 2025: 9 · 2024: 3 · 2023: 11 · 2022: 13 · 2021: 7 · 2020: 18 · 2019: 13 · 2018: 24 · 2017: 22 · 2016: 8 · 2015: 12 · 2014: 6
FWCI
14.81
Type
journal article
Language
en
Open access
closed
Locations
  • The VLDB Journal (publishedVersion)
  • Repositori institucional URV (Universitat Rovira i Virgili) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
  • Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
Keywords
differential privacy, k-anonymity, microaggregation, data anonymization, data utility, noise reduction, privacy-preserving data publishing, privacy-utility trade-off

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