Unitanony: a fine-grained and practical anonymization framework for better data utility
Abstract In order to share data without revealing private information, privacy-preserving data publishing techniques are proposed. K-anonymity and l-diversity secure against identity and attribute disclosure. Anonymization algorithms enforce the above models and are willing to reach two primary goal...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42400-024-00345-2 |
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