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EDBT
2009
ACM

Continuous privacy preserving publishing of data streams

9 years 6 months ago
Continuous privacy preserving publishing of data streams
Recently, privacy preserving data publishing has received a lot of attention in both research and applications. Most of the previous studies, however, focus on static data sets. In this paper, we study an emerging problem of continuous privacy preserving publishing of data streams which cannot be solved by any straightforward extensions of the existing privacy preserving publishing methods on static data. To tackle the problem, we develop a novel approach which considers both the distribution of the data entries to be published and the statistical distribution of the data stream. An extensive performance study using both real data sets and synthetic data sets verifies the effectiveness and the efficiency of our methods.
Bin Zhou 0002, Yi Han, Jian Pei, Bin Jiang, Yufei
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where EDBT
Authors Bin Zhou 0002, Yi Han, Jian Pei, Bin Jiang, Yufei Tao, Yan Jia
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