基于关键词的加密云数据模糊搜索策略研究

随着个人和企业用户产生的数据量越来越多,云存储的价格便宜、存储空间使用灵活等优势也越来越明显。随着大量的数据外包到云服务器端,用户一般采用加密方法实现对敏感数据的保护和使用限制,这使得传统的基于明文的搜索方案不再适用。如何在保护隐私的基础上实现高效的数据文件搜索是首要考虑的问题。在已有的加密数据搜索方案的基础上,分析中文所特有的模糊音和多义的特点,利用中文和英文实现关键词的同义词构建,并建立关键词的模糊音词和同义词集合,提出了基于关键词的加密云数据模糊搜索方案,实现了对中文模糊音和同义关键词的搜索并利用伪随机函数对私钥进行保护。最后通过安全性分析和系统实验验证了该方案具有较高的安全性、良好的实用性和较高的搜索成功率。

Research on Fuzzy Search over Encrypted Cloud Data Based on Keywords

With the increasing amount of data generated by individuals and business users,the advantages of cloud sto-rage such as lower price and flexible use of storage space are obvious.As a large amount of data are outsourced to the cloud server,encryption methods are used to achieve protection and limitations of sensitive data generally.It makes traditional search scheme based on plaintext no longer applicable.How to achieve efficient file search on the basis of privacy protection is the primary consideration.On the basis of the existing encrypted data search schemes,Chinese characteristics of homophone and polysemy were analyzed,and synonyms of keyword were constructed using Chinese and English,and the sets were constructed respectively.Fuzzy search scheme over encrypted cloud data based on keywords was proposed.Search of Chinese fuzzy pinyin and synonyms is achieved,and the private key is protected by pseudo-random function.High security,good practicability and high searching success rate of the system were verified by security analysis and system experiment.