Research on Data Combination Privacy Preservation Mechanism for SaaS
Qing Li · Chinese Journal of Computers · 2010
In Software-as-a-Service(SaaS)model,business applications and databases are both deployed at the platform of untrustworthy service providers.Data privacy leakage has become the biggest problem and challenge hindering application and adoption of SaaS model.Based on the privacy leakage degree of different plainx data combination in SaaS model,this paper proposes a data combination privacy preservation mechanism for SaaS.This mechanism supports customizing privacy constraint,which is used to describe the requirements of data combination privacy,and fragments the SaaS data attribute into the different data chunks.Based on the trusted third party,association between data shares from different data chunks could be hidden and reconstructed,fake data are also used to assure the balancing of the data shares in data chunks,which combines data privacy preservation and data usability.It is proven that the privacy preservation mechanism is effective and feasible through analysis and experiments.