Title :
Simple data transformation method for privacy preserving data re-publication
Author :
Choi, WonGil ; Ryu, Joonsuk ; Kim, Wonyoung ; Kim, Ungmo
Author_Institution :
Dept. of Comput. Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
As growing interest in data publishing and analysis, privacy preserving data publication has become more important today. When a table containing the sensitive information is published, privacy of each individual should be protected. On the other hand, a data holder also considers minimizing information loss for analysis as long as the privacy is preserved. A few years ago, k-anonymity and l-diversity models have been suggested in order to protect privacy. However, these solutions are limited to static data release. Recently, the m-invariance model has been proposed to apply publication of dynamic environments. However, m-invariance generalization technique causes high information loss. In this paper, we propose a simple and safe anonymization technique without generalization while assuring high data utility in dynamic environments.
Keywords :
data analysis; data privacy; query processing; security of data; data analysis; data holder; data publishing; dynamic environment; information loss minimization; k-anonymity model; l-diversity model; m-invariance generalization technique; privacy preserving data re-publication; query answering; sensitive information; simple data transformation method; static data release; Data analysis; Data engineering; Data privacy; Diabetes; Influenza; Information analysis; Liver diseases; Lungs; Protection; Publishing;
Conference_Titel :
Web Society, 2009. SWS '09. 1st IEEE Symposium on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4244-4157-0
Electronic_ISBN :
978-1-4244-4158-7
DOI :
10.1109/SWS.2009.5271800