海量数据冗余干扰下云数据查询的安全索引构建方法（英文）

Construction method of secure index for cloud data query under interference of massive data redundancy

针对云数据查询安全检索结构未能考虑数据的不确定性,在海量数据冗余干扰下无法稳定挖掘数据特征,提出一种专门针对海量数据冗余干扰的云数据查询的安全索引构建方法,其构建规则是以数据可被安全查询为基础,构建了一种新型云数据查询的安全索引结构,通过迭代法消除冗余数据,并从位于中心区域的R树开始顺次索引个体云数据,以便得到比较确切且更加安全的查询或索引结果。实验结果表明:所提方法的云数据索引规模大,数据查询效率与查准率高,具有较好的抗干扰性能,且在索引过程中能够消除大量数据冗余干扰,稳定性较好。

Aiming at that the safe retrieval structure of cloud data query fails to consider the uncertainty of data,one can not stably mine data features in the interference of massive data redundancy.This paper proposed a method for security index construction of cloud data query specializing in the interference of massive data redundancy.The construction rule is based on the data security query-This method could establish a new safe index structure of cloud data query,eliminate the redundant data through the iterative method,then index individual cloud data from R tree in the central region in proper sequence,so as to get more precise and more secure query or index results.Experimental results show^that the cloud data index scale of proposed method is large,and data query efficiency and precision ratio are high,which has good anti-interference performance.This method can eliminate massive interference of redundant data in the process of index,which has good stability.