(α, k)-anonymity
Chinese University of Hong Kong · University of Southern Queensland · +1 more institution
Abstract
Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification. Recent studies show that a more sophisticated model is necessary to protect the association of individuals to sensitive information. In this paper, we propose an (α, k)-anonymity model to protect both identifications and relationships to sensitive information in data. We discuss the properties of (α, k)-anonymity model. We prove that the optimal (α, k)-anonymity problem is NP-hard. We first presentan optimal global-recoding method for the (α, k)-anonymity problem. Next we propose a local-recoding algorithm which is more scalable and result in…
Citation impact
- FWCI
- 54.98
- Percentile
- 100%
- References
- 16
Authors
4Topics & keywords
- Computer science
- Anonymity
- Computer security
- Peace, Justice and strong institutions