Current developments of k-anonymous data releasing

Li, Jiuyong and Wang, Hua and Jin, Huidong and Yong, Jianming (2008) Current developments of k-anonymous data releasing. Electronic Journal of Health Informatics, 3 (1). ISSN 1446-4381

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Abstract

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining community, especially after the introduction of the k-anonymity model by Samarati and Sweeney. Algorithmic advances on k-anonymisation provide simple and effective approaches to protect private information of individuals via only releasing k-anonymous views of a data set. Thus, the kanonymity model has gained increasing popularity. Recent research identifies some drawbacks of the k-anonymity model and presents enhanced k-anonymity models. This paper reviews problems of the k-anonymity model and its enhanced variants, and different methods for implementing k-anonymity. It compares the k-anonymity model with the secure multiparty computation-based privacypreserving techniques in the data mining literature. The paper also discusses further development directions of the k-anonymous data releasing.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © Copyright of articles is retained by authors; originally published in the electronic Journal of Health Informatics (http://www.ejhi.net). This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License (http://creativecommons.org/ licenses/by-nc-sa/2.5/au).
Depositing User: Dr Hua Wang
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 06 Oct 2008 04:45
Last Modified: 02 Jul 2013 23:07
Uncontrolled Keywords: privacy preserving; data releasing; k-anonymity
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
08 Information and Computing Sciences > 0807 Library and Information Studies > 080709 Social and Community Informatics
URI: http://eprints.usq.edu.au/id/eprint/4478

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