Hybrid Fragmentation to Preserve Data Privacy for SaaS
SaaS is a novel software model that data and applications of service are outsourced to service provider. Although SaaS model offers many benefits for small and medium enterprises, data privacy issue is the most challenge for the development of SaaS. In this paper we propose a new hybrid fragmentation approach which is different from traditional data encryption to protect data. We define three kinds of privacy constraints to support finger-grained privacy customization. We also give a heuristic hybrid fragmentation algorithm which considers query efficiency to produce a hybrid fragmentation. We make some experiments to analyze our approach in the paper.
SaaS Hybrid Fragmentation Data Privacy Customization
Yu Shen Wenjuan Cui Qingzhong Li Yuliang Shi
School of Computer Science and Technology Shandong University, Jinan, China Health Human Resources Development Center, Ministry of Health, Beijing China
国际会议
重庆
英文
3-6
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）