随着网络储存服务的发展，越来越多的企业和个人选择把本地复杂的数据管理事物外包给第三方服务器。这种情况下，为了保护信息的隐私性，企业和个人会在外包之前先对数据进行加密。研究怎样利用已经趋于成熟的明文检索技术，设计适用于密文的检索技术，是现在可搜索加密技术研究的热点。本文采用“坐标匹配”的方法度量搜索请求和数据文件相关关系，利用安全内积计算技术，定义和解决了云上多数据所有者多、关键词的安全排序搜索问题。并且，通过仿真实验，分析了不同参数变化对效率的影响。%With the development of network storage services, more and more businesses and individuals choose to out-source local complex data management things to a third party server. In this case , businesses and personals will encrypt their data before outsourcing to protect their data privacy. Now, how to use the already mature plaintext searching technolo-gy, designing for the ciphertext search technology, is the research hotpot of searchable encryption technology. This paper adapts "Coordinate match" as the methods of measuring the correlation of search requests and data files, uses security inner product calculation technology, defines and solves the problem of privacy preserving multiple data owners and multiple keyword search in the cloud and orders the result of searching. In the same time, we analyze the influence of different pa-rameters on the efficiency through simulation.
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