Study on Privacy Preserving Technology in Data Publishing Scenario

Abstract

In recent years, many data sets are accessed for the purposes of research, cooperation and e-business, and so on. Publishing data about individuals without revealing their private information has become an active issue, and k-Anonymous-based models are effective techniques that prevent linking attack. We analyzed the privacy leakage problem in data publishing environment. Then we concluded the privacy preserving technologies, and clarified the k-anonymity models. Finally we conclude the directions of this area.

Study on the Mechanical Properties of Lime-Cement-Treated Loess Soils

“…In order to perform the finite element computation for the compaction pile in loess region, we (2006) [3] analyzed the deficiency of Duncan-Chang model in describing the stress of the loess surrounding the compaction pile. There are other research results for improving the mechanical features of loess soils [4][5][6][7] .…”