Microdata protection method through microaggregation: a systematic approach

Kabir, Md Enamul and Wang, Hua (2012) Microdata protection method through microaggregation: a systematic approach. Journal of Software, 7 (11). pp. 2415-2422. ISSN 1796-217X

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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 k records and then replacing the records
in each group with the centroid of the group. This paper
presents a clustering-based microaggregation method to
minimize the information loss. The proposed technique
adopts to group similar records together in a systematic
way and then anonymized with the centroid of each group
individually. The structure of systematic clustering problem
is defined and investigated and an algorithm of the proposed
problem is developed. Experimental results show that our
method attains a reasonable dominance with respect to both
information loss and execution time than the most popular
heuristic algorithm called Maximum Distance to Average
Vector (MDAV).


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: This is an open access title.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 29 Apr 2013 07:17
Last Modified: 19 Aug 2014 02:40
Uncontrolled Keywords: privacy; microaggregation; microdata protection; k-anonymity; disclosure control
Fields of Research : 08 Information and Computing Sciences > 0804 Data Format > 080402 Data Encryption
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
08 Information and Computing Sciences > 0806 Information Systems > 080608 Information Systems Development Methodologies
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.4304/jsw.7.11.2415-2423
URI: http://eprints.usq.edu.au/id/eprint/22945

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