A New Algorithm for Protecting Aggregate Business Microdata via a Remote System

Author:

Ma Yue,Lin Yan-Xia,Chipperfield James,Newman John,Leaver Victoria

Publisher

Springer International Publishing

Reference21 articles.

1. Blakemore, M.: The potential and perils of remote access. In: Doyle, P., Lane, J., Zayatz, L., Theeuwes, J. (eds.) Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies, pp. 315–340. Elsevier Science B. V., Amsterdam (2001)

2. Chipperfield, J.O., O’Keefe, C.M.: Disclosure-protected inference using generalised linear models. Int. Stat. Rev. 82(3), 371–391 (2014). doi: 10.1111/insr.12054

3. Chipperfield, J., Newman, J., Thompson, G., Ma, Y., Lin, Y.-X.: Prospects for Protecting Aggregate Business Microdata via a Remote Server (2016). (working paper)

4. Decays, D., Nanopoulos, P.: Panels of enterprises and confidentiality: the small aggregates method. In: Proceedings of 92 Symposium on Design and Analysis of Longitudinal Surveys, pp. 195–204. Statistics, Canada (1993)

5. Domingo-Ferrer, J., Torra, V.: Disclosure protection methods and information loss for microdata. In: Doyle, P., Lane, J.I., Theeuwes, J.J.M., Zayatz, L. (eds.) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, pp. 91–110. North-Holland, Amsterdam (2001)

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