基于多项式函数和隐私保护策略的多关键字检索算法

针对一般检索算法在云计算环境下对大量加密数据不能有效进行多关键字检索的问题,提出了一种多项式函数结合隐私保护策略的检索算法,该算法可以进行有效的多关键字排列检索。首先,提出了一种基本策略,利用多项式函数隐藏加密的关键字；然后,寻找一种可以进行有效多关键字排列检索的模式。为了增强检索的保密性,提出了一种隐私保护策略,利用安全内积方法保护检索多关键字的私密性。最后,使用Enron电子邮件数据集作为实验数据库,分别在索引时间成本、暗门生成时间成本和查询时间方面评估了本文算法的检索和保密性能,实验结果表明,本文算法可在云计算中进行高效的加密多关键字排列检索。

The research of multi-keyword search algorithm based on polynomial function combined with the privacy policies

As for the common search algorithm cannot effectively multi-keyword search in the cloud computing encrypted data, a polynomial function combined privacy policy retrieval algorithm is proposed. This algorithm can effectively align keyword searches. Firstly, a basic strategy is proposed by using the hidden keywords of polynomial functions. Then, a more effective arrangement keyword search mode is proposed. In order to enhance the confidentiality of retrieval, a privacy policy is put forward. The privacy of the keywords is protected by a safe product. Finally, the experimental database is Enron email data sets. The search and security performance of the proposed algorithm are tested in the three aspects index time cost, trapdoor generation time cost and query time cost. Experimental results show this algorithm performs efficient encryption key arrangement retrieval in the cloud calculation.