An Improved K-Anonymity Algorithm Model
Privacy disclosure is a common problem in data publishing, formerly, K-anonymity methods of Privacy Protection have great influence on the data precision. This paper analyzes the reasons of the influence, and proposes an improved algorithm. The algorithm defines a Weight-related of attribute in orde...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | Privacy disclosure is a common problem in data publishing, formerly, K-anonymity methods of Privacy Protection have great influence on the data precision. This paper analyzes the reasons of the influence, and proposes an improved algorithm. The algorithm defines a Weight-related of attribute in order to select attributes for generalization. This approach effectively prevents sensitive data loss in the generalization. Experimental results show that the improved algorithm of K-anonymity model increases the data precision effectively. |
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ISSN: | 2160-1283 |
DOI: | 10.1109/ICISE.2009.275 |