Microdata protection method through microaggregation: a median-based approach
Article
Article Title | Microdata protection method through microaggregation: a median-based approach |
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ERA Journal ID | 39773 |
Article Category | Article |
Authors | Kabir, Md Enamul (Author) and Wang, Hua (Author) |
Journal Title | Information Security Journal: a Global Perspective |
Journal Citation | 20 (1), pp. 1-8 |
Number of Pages | 8 |
Year | 2011 |
Publisher | Taylor & Francis |
Place of Publication | Philadelphia, PA. United States |
ISSN | 1939-3547 |
1939-3555 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/19393555.2010.515288 |
Web Address (URL) | http://www.tandfonline.com/toc/uiss20/current |
Abstract | Microaggregation for statistical disclosure control (SDC) is a family of methods to protect microdata from individual identification. SDC seeks to protect microdata in such a way that they can be published and mined without providing any private information that can be linked to specific individuals. The aim of SDC is to modify the original microdata in such a way that the modified data and the original data are similar. Microaggregation works by |
Keywords | privacy; microaggregation; microdata protection; k-anonymity; disclosure control |
ANZSRC Field of Research 2020 | 490509. Statistical theory |
460401. Cryptography | |
460499. Cybersecurity and privacy not elsewhere classified | |
Public Notes | © Taylor & Francis Group, LLC. Published version deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | Department of Mathematics and Computing |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0785/microdata-protection-method-through-microaggregation-a-median-based-approach
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