Weak k-Anonymity: A Low-Distortion Model for Protecting Privacy
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/11836810_5.pdf
Reference12 articles.
1. Samarati, P., Sweeney, L.: Generalizing data to provide anonymity when disclosing information (abstract). In: Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of Database Systems (PODS), p. 188. ACM Press, New York (1998)
2. Sweeney, L.: k-Anonymity: a model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(5), 557–570 (2002)
3. Samarati, P.: Protecting respondents’ identities in microdata release. IEEE Transactions on Knowledge and Data Engineering (TKDE) 13(6), 1010–1027 (2001)
4. Sweeney, L.: Achieving k-anonymity privacy protection using generalization and suppression. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(5), 571–588 (2002)
5. Domingo-Ferrer, J., Mateo-Sanz, J.M.: Practical data-oriented microaggregation for statistical disclosure control. IEEE Transactions on Knowledge and Data Engineering (TKDE) 14(1), 189–201 (2002)
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