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Abstract
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Article Information:
A Novel Anonymity Algorithm for Privacy Preserving in Publishing Multiple Sensitive Attributes
Jian Wang
Corresponding Author: Jian Wang
Submitted: June 13, 2012
Accepted: July 18, 2012
Published: November 15, 2012 |
Abstract:
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Publishing the data with multiple sensitive attributes brings us greater challenge than publishing
the data with single sensitive attribute in the area of privacy preserving. In this study, we propose a novel
privacy preserving model based on k-anonymity called (α, β, k)-anonymity for databases. (α, β, k)-
anonymity can be used to protect data with multiple sensitive attributes in data publishing. Then, we set a
hierarchy sensitive attribute rule to achieve (α, β, k)-anonymity model and develop the corresponding
algorithm to anonymize the micro data by using generalization and hierarchy. We also design experiments
to show the application and performance of the proposed algorithm.
Key words: Data publishing , k-anonymity, multiple sensitive attributes, privacy preserving, , ,
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Cite this Reference:
Jian Wang, . A Novel Anonymity Algorithm for Privacy Preserving in Publishing Multiple Sensitive Attributes. Research Journal of Applied Sciences, Engineering and Technology, (22): 4923-4927.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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