面向云存储基于属性的隐私保护算法

针对隐私保护在复杂社会场景下可能面临的问题,提出一种非加密的隐私保护算法.该算法将复杂社会场景抽象成多属性关联模型,通过关联属性分离的方式,将关联隐私的属性组合分离存储于不同的数据块中解决数据隐私保护问题.同时,为了保证数据重构的效率,还提出一种组合关联属性分离算法,达到了在数据隐私保护性能与数据利用效率之间的最大优化.

Attribute Based Privacy Preserving Algorithm for CloudStorage

Aiming at the problems that privacy protection might face in complex social situations, the author proposed a non cryptic privacy protection algorithm. The algorithm abstracted complex social scene into multiple attribute correlation model, through the separation way of the correlation attributes， the attributes combination of correlation privacy were separated and stored in different blocks of data to solve the problem of data privacy protection. At the same time, in order to guarantee the efficiency of data refactoring, the author also proposed a combined correlation attributes separation algorithm, which achieved the maximum optimization between privacy protection and utilization efficiency of the data.