Microdata protection method through microaggregation: a systematic approach
Article
Article Title | Microdata protection method through microaggregation: a systematic approach |
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ERA Journal ID | 32139 |
Article Category | Article |
Authors | Kabir, Md Enamul (Author) and Wang, Hua (Author) |
Journal Title | Journal of Software |
Journal Citation | 7 (11), pp. 2415-2422 |
Number of Pages | 8 |
Year | 2012 |
Place of Publication | Oulu, Finland |
ISSN | 1796-217X |
Digital Object Identifier (DOI) | https://doi.org/10.4304/jsw.7.11.2415-2423 |
Web Address (URL) | http://ojs.academypublisher.com/index.php/jsw/article/view/jsw071124152423/5878 |
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 |
Keywords | privacy; microaggregation; microdata protection; k-anonymity; disclosure control |
ANZSRC Field of Research 2020 | 460401. Cryptography |
460499. Cybersecurity and privacy not elsewhere classified | |
460905. Information systems development methodologies and practice | |
Public Notes | This is an open access title. |
Byline Affiliations | Centre of Excellence in Engineered Fibre Composites |
Department of Mathematics and Computing | |
Event | Journal of Software |
Institution of Origin | University of Southern Queensland |
Event Details | Journal of Software |
https://research.usq.edu.au/item/q1w74/microdata-protection-method-through-microaggregation-a-systematic-approach
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