Study on Privacy Preserving Technology in Data Publishing Scenario
Yong Kang Xu, Shan Ying Zhou, Yu Tao Sun · Applied Mechanics and Materials · 2012
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.