Incremental Anonymous Privacy-Protecting Data Mining Method Based on Feature Correlation Algorithm

Author:

Jia Yongliang,Tao Peng,Zhou Dapeng,Li Bing

Publisher

Springer Singapore

Reference15 articles.

1. Samarati, P., Sweeney, L.: Generalizing data to provide anonymity when disclosing information. In: Proceedings of the Seventeenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, p. 188 (1998)

2. Li, J., Ooi, B.C., Wang, W.: Anonymizing Streaming Data for Privacy Protection (2008)

3. Wang, W., Li, J.: Privacy protection on sliding window of data streams, Collaborative Computing: Networking, Applications and Worksharing, 12–15 November 2012, pp. 213–221 (2012)

4. Zhang, J., Jing, Y., Zhang, J., et al.: An improved RSLK-anonymity algorithm for privacy protection of data stream. Int. J. Adv. Comput. Technol. 4(9), 218–225 (2012)

5. Cao, J., Carminati, B., Ferrari, E., et al.: CASTLE: continuously anonymizing data streams. IEEE Trans. Dependable Secure Comput. 8(3), 337–352 (2011)

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