The K-Anonymization Method Satisfying Personalized Privacy Preservation
Even if k-anonymity model can prevent publishing data from disclosing privacy effectively and efficiently, due to the uneven distribution of the sensitive data, ordinary k-anonymization method cannot guarantee each tuple satisfying the personalized privacy requirement of it’s data owner although the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2015-12-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/4200 |