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.
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.
Statistics for this ePrint Item
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|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|
Actions (login required)
|Archive Repository Staff Only|