摘要
针对当前密文搜索领域大多数多关键字查询算法均不能同时保证云环境下的安全性、便捷性,以及实用搜索算法所常见的模糊查询、多关键字查询等操作,本文提出了一种能够适应云计算应用的密文搜索算法,该算法基于MRSE与向量空间模型进行构建,在已有的MRSE的基础上进行了改进,增加了包括分块纠删码、bloomfilter在内的几种优化方案,能够将散落在云端的数据在加密的条件下进行关键字搜索,使得算法搜索性能大大增强。仿真实验结果表明,本文提出的改进的动态模糊多关键字查询算法大大增强了密文搜索的运行效率和安全性,保证了云环境数据的查询准确度,降低了运算和存储的负载,并能够实现多关键字搜索和模糊搜索,增强了云搜索服务的性能,是一种适合云环境应用的密文搜索算法。
In view of the current cipher text search most keyword query algorithm are not at the same time guarantee the safety of a cloud environment,convenience,and the common practical search algorithm of fuzzy query,query keywords such as operation,this paper puts forward a kind of can adapt to the application of cloud computing cipher text search algorithm,the algorithm based on MRSE and vector space model to build,on the basis of the existing MRSE is improved,increased,including block remedy delete code,bloomfilter several optimization schemes,and can be scattered in the cloud data in encrypted under the condition of keyword search,makes the algorithm search performance is greatly enhanced.Simulation experiment results show that the proposed improved dynamic fuzzy multiple keyword query algorithm greatly enhances the efficiency and security of the cipher text search,guarantee the query of the cloud data accuracy,reduces the computation and storage load,and can realize the fuzzy search,keyword search and enhance the performance of cloud search service,is a cipher text search algorithm suitable for the cloud applications.
出处
《科技通报》
2018年第6期211-214,共4页
Bulletin of Science and Technology
关键词
动态模糊
多关键字
模糊搜索
数据安全
dynamic blur
Multiple keywords
fuzzy search
data security
