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A new approach for achieving k-anonymity in database based on fuzzy clustering and 0-1 integer programming
- Authors
- Won, H.S.; Cui, R.; Kim, H.J.; Sundaram, S.; Sachnev, V.
- Issue Date
- 2013
- Publisher
- International Information Institute Ltd.
- Keywords
- 0-1 integer programming; Fuzzy c-means clustering; K-Anonymity; Privacy protection
- Citation
- Information (Japan), v.16, no.4, pp.2759 - 2766
- Indexed
- SCIE
SCOPUS
- Journal Title
- Information (Japan)
- Volume
- 16
- Number
- 4
- Start Page
- 2759
- End Page
- 2766
- ISSN
- 1343-4500
- Abstract
- Note that k-anonymity algorithm has been widely discussed in the area of privacy protection. In this paper, a new approach to achieve A-anonymity for database application is introduced. The fuzzy c-means clustering method is adopted for classification in this article. Based on the bit operations, a new expression for k-anonymity is provided in the form of 0-1 integer programming, which shows a new idea to solve the k-anonymity problems. The experimental result shows the efficiency of the approach in practical cases.
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