A pairwise-systematic microaggregation for statistical disclosure control

Kabir, Md Enamul and Wang, Hua and Zhang, Yanchun (2010) A pairwise-systematic microaggregation for statistical disclosure control. In: ICDM 2010: 10th IEEE International Conference on Data Mining , 14-17 Dec 2010, Sydney, Australia.

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Abstract

Microdata protection in statistical databases has recently become a major societal concern and has been intensively studied in recent years. Statistical Disclosure Control (SDC) is often applied to statistical databases before they are released for public use. Microaggregation for SDC is a family of methods to protect microdata from individual identification. SDC seeks to protect microdata in such a way that can be published and mined without providing any private information that can be linked to specific individuals. Microaggregation works by partitioning the microdata into groups of at least


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: Mr Md Enamul Kabir
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 07 Apr 2011 04:34
Last Modified: 03 Jul 2013 00:27
Uncontrolled Keywords: privacy; microaggregation; microdata protection;
Fields of Research (FOR2008): 01 Mathematical Sciences > 0104 Statistics > 010499 Statistics not elsewhere classified
08 Information and Computing Sciences > 0804 Data Format > 080402 Data Encryption
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1109/ICDM.2010.111
URI: http://eprints.usq.edu.au/id/eprint/18230

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