Data Partition Based on Attribute Similarity to Preserve Data Privacy
Dewei Peng, Yong Hu, Hongxia Wang, Feng Geng · 2015
In DaaS, users lose physical control over their data, and the DSP which is not fully trusted own all the operating rights over the data, on this service model the data owners are seriously worried about their privacy data. Based on the related research work, a data partition method based on attribute similarity for privacy protection was proposed in this paper. This method partition attribute into small block, then store block in DSP and store relationship between data in TTP. This method can protect the privacy of the data better. The feasibility of the method by comparison of experimental results is verified in this paper.