A dynamic group privacy protection mechanism based on cloud model

Abstract

Data publishing has become an import way for information sharing. However, data privacy is still a challenge issue. When publishing data frequently, certain sensitive accurate trend may leak. Some significant sensitive overall information may be got from these published time-dependent data sets. It may result in serious consequences and heavy loss. For this issue, this paper proposes a group privacy preservation mechanism for dynamic data-sets. The sensitive accurate overall information of data-sets could be confused by some faked but rational value. In order to guarantee the rationality of the fake data, cloud model is used to generate the fake data. Analysis and experiments shows the effectiveness of this mechanism.