云计算中基于双陷门技术的混合密文检索方案

Mixed Search over Encrypted Cloud Data based on Double-Trap

密文检索是云计算中数据可用性的标志性体现。目前云计算中的多关键词模糊检索方案存在效率低、安全性差等问题。针对这个问题本文设计了一种基于双陷门技术的混合密文检索方案,首先,本文引入双索引结构用来支持多关键词检索;其次,本文引入Huffman编码树和DFSC改良了索引结构,提高了检索的效率并且减小索引存储空间;再次,本文通过TF-IDF规则隐藏关键词词频,增加检索过程安全性;最后,本文根据多关键词检索和模糊检索协同计算评分结果,经排序将结果值返回给用户。通过仿真实验结果表明本文方案能够提高检索的效率和降低索引存储开销。

Searchable Encryption is the sign of data availability in cloud computing. The multi-keyword fuzzy searchable Encryption schemes in cloud computing have several problems. They includes the efficiency is low and the safety is poor, etc. To solve this problem, this paper introduces a kind of mixed search over Encrypted cloud data based on privacy-preserving. Firstly, this paper introduces a doubleindexing structure to support multi-keyword searching. Secondly, this paper introduces the Huffman coding tree and DFSC to improve the retrieval efficiency, and reduce index-storage space. Thirdly, this paper introduces IF-IDF to increase retrieval security. Finally, this paper returned the result value to the user through sorting based on the result is cooperative scored between the multi-keyword searching and fuzzy searching. In this paper, the result of simulation experiment shows that improving the retrieval efficiency and reducing index-storage space.