ADSL: Attribute Disassociation on Sensitive Linkages
| Autor: | Meng-Lin Lee, 李孟霖 |
|---|---|
| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 k-Anonymity and its variants provide primitive privacy protections for re-identifying any individual in a given database. However, they are still vulnerable to re-identification during correlating attribute associations. To prevent confidential information disclosure for specific association rule mining, we propose an attribute disassociation de-identification method called ADSL to mask the data before releasing to the public. The experiments show that the proposed method not only satisfies the privacy protection requirement but also shows effectiveness of the proposed method in association rule mining. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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