Author:
Valli Kumari V.,Varma N. Sandeep,Sri Krishna A.,Ramana K. V.,Raju K. V. S. V. N.
Publisher
Springer Berlin Heidelberg
Reference16 articles.
1. Sweeney, L.: K-anonymity: a model for protecting privacy. International Journal on Uncertainty 10(5), 557–570 (2002)
2. Narayanan, A., Shmatikov, V.: Robust De-anonymization of Large Datasets (February 5, 2008)
3. Wong, R., Li, J., Fu, A., Wang, K.: (α, k) Anonymity: An Enhanced k-Anonymity Model for Privacy Preserving Data Publishing. In: KDD (2006)
4. Dwork: An Ad Omnia Approach to Defining and Achieving Private Data Analysis. In: Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (2007)
5. Sweeney, L.: Weaving technology and policy together to maintain confidentiality. J. of Law, Medicine and Ethics 25(2-3), 98–110 (1997)
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