Current developments of k-anonymous data releasing

Li, Jiuyong and Wang, Hua and Jin, Huidong and Yong, Jianming (2006) Current developments of k-anonymous data releasing. In: National e-Health Privacy and Security Symposium 2006, 24-26 October 2006, Brisbane.

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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 k-anonymity 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 privacy-preserving 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: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Depositing User: Dr Jianming Yong
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 11 Oct 2007 00:39
Last Modified: 25 Nov 2013 01:49
Uncontrolled Keywords: k-Anonymous, data privacy
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
URI: http://eprints.usq.edu.au/id/eprint/1307

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