DaRAV: A Tool for Visualizing De-Anonymization Risks-Reference-Cited by-同舟云学术

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DaRAV: A Tool for Visualizing De-Anonymization Risks

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
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Author:

Adamakis E.¹,Boch M.²,Bampoulidis A.³,Margetis G.¹,Gindl S.²,Stephanidis C.¹

Affiliation:

1. Foundation for Research and Technology Hellas,Institute of Computer Science,Heraklion,Greece

2. RSA FG,Research Studio Data Science,Vienna,Austria,1090

3. Medical University of Vienna,Vienna Reading Center,Department of Ophthalmology,Vienna,Austria,1090

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184670.pdf?arnumber=10184670

Reference20 articles.

1. PrioPrivacy: A Local Recoding K-Anonymity Tool for Prioritised Quasi-Identifiers

2. Anonymisation methods for complex data based on privacy models [in-print];boch;Information and Systems Technology,2023

3. Efficient systematic clustering method for k-anonymization

4. Anatomy: Simple and effective privacy preservation;xiao;Proceedings of the 32nd international conference on Very large data bases,2006

5. A Systematic Review of Data Management Platforms

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