A Survey on Multi Keyword Search Methods over Encrypted Data in Single Cloud Environment

S. Devi, V. Senthilkumar
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引用次数: 0

Abstract

- Cloud computing [11] is a tremendous growth in every years and it can be utility the computing and large storage capability to the public users. The data owner can store the data in the cloud server is called data outsourcing and then the cloud data access for public users through the cloud server. The outsourced data are contains sensitive privacy information and it can be encrypted before uploaded to the cloud server and then the search user can access to the data through the cloud server is some difficulty of searching over the encrypted data in cloud. In this paper address this problem by developed the fine-grained multi-keyword search scheme over encrypted data in the cloud. There are three contribution of this paper. First one is, to provided relevance scores and preference factors upon keywords which enabled the precise keyword search. Second one is, to developed a complicated logic search the mixed AND, OR and NO operations of multi-keyword search scheme. And finally, auxiliary employ the classified sub-dictionaries technique to accomplish the index building, trapdoor generating and query. By using this experiments to the real-world dataset, so easily retrieve the result from dataset.
单云环境下加密数据多关键字搜索方法研究
云计算[11]每年都有巨大的增长,它可以为公众用户提供计算和大存储能力。数据所有者可以将数据存储在云服务器上,称为数据外包,然后通过云服务器为公共用户访问云数据。外包数据包含敏感的隐私信息,可以对其进行加密后上传到云服务器,搜索用户通过云服务器访问数据,这给云上加密后的数据搜索带来了一定的困难。本文通过对云中的加密数据进行细粒度多关键字搜索,解决了这一问题。本文的贡献有三点。一是提供关键字的相关性评分和偏好因子,实现精确的关键字搜索。二是开发了一种复杂的逻辑搜索混合AND、OR和NO操作的多关键字搜索方案。最后,辅助采用分类子字典技术完成索引的建立、活门的生成和查询。通过将该实验应用于真实数据集,可以很容易地从数据集中检索到结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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