摘要
研究数据库中密文准确检索问题,以提高检索的准确性。由于加密后的关系数据库,密文数据不再保持原有明文的顺序性,给查询操作带来了极大的困难。传统的密文检索模型,无法全面分析加密后的密文数据的排名大小以及概率值大小,获取的密文检索在语义上具有歧义性。为解决上述问题,提出一种采用云计算的数据库中密文检索方法。根据主成分分析方法相关理论,针对数据库中所有的数据进行多特征降维处理,建立特征空间矩阵,并计算对应的协方差矩阵和特征映射空间,降低数据库中数据的冗余度。根据云计算相关理论,对数据库中的数据进行更新处理,遍历数据库中所有节点,建立数据库中密文检索模型。实验结果表明,利用改进算法进行数据库中密文检索,可以极大地提高检索的精确度,满足数据查询的实际需求。
Research on accurate ciphertext retrieval in database is to improve the accuracy of retrieval. In encrypted relational database, ciphertext data are no longer maintain the original succession of plaintext, bring great difficulties to query operation. In the paper, a ciphertext retrieval method in database based cloud computing was proposed. According to the correlation theory of principal component analysis, all of the data in the database were made multifeature dimension reduction, to establish feature space matrix, calculate the corresponding covariance matrix, feature mapping space, and reduce the redundancy of data in the database. According to the correlation theory of cloud computing, the data in the database were updated, all the nodes in the database were traversed to establish ciphertext retrieval model in database. The experimental results show that using the improved algorithm for ciphertext retrieval in database, can greatly improve the accuracy of retrieval to meet the actual demand for data queries.
出处
《计算机仿真》
CSCD
北大核心
2014年第11期336-339,共4页
Computer Simulation
基金
教育部研究项目(教高司函[2009]1
教高司函[2010]76)
关键词
数据库
密文
检索
云计算
Database
Cipbertext
Retrieval
Cloud computing
作者简介
祝钢（1972-），男（汉族），辽宁省沈阳市人，实验师，主要研究方向：计算机软件与数据库。
