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Efficient Multi-keyword Searchable Encryption Based on Multi-input Inner-Product Functional Encryption

机译:基于多输入内部产品功能加密的高效多关键字搜索加密

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With highly development of cloud computing, data owners wish to outsource their data to clouds for computational and storage resource at a lower price. In order to protect the privacy of sensitive information, they should be encrypted before being uploaded to the cloud server. However, in this way, it is hard to find data in encrypted form according to search criticisms. To solve this problem, searchable encryption has merged. In this paper, we propose a secure and efficient searchable encryption scheme supporting multi-keyword search in 1-to-n setting. The scheme is mainly applicable to the scenes that the number of keywords is limited but the number of files is huge such as sharing a comprehensive knowledge base of a certain field. By tactfully leveraging multi-input inner-product functional encryption, the cloud server is able to complete search processes with search tokens which consist of only two items. It reduces communication and transportation overhead significantly. By using an inverted index structure and super-incremental sequence, our scheme achieves efficient multi-keyword search. In addition, our scheme avoids per-query interaction between the data owner and data users. That is to say, the data owner does not need to stay online waiting for data users to search in his archives. On the other hand, the scheme also achieves partial token privacy, index privacy and token privacy at the same time.
机译:随着云计算的高度发展,数据所有者希望以较低的价格将其数据外包给云计算和存储资源的云。为了保护敏感信息的隐私,应在上传到云服务器之前加密。但是,通过这种方式,根据搜索批评,很难找到加密表单中的数据。要解决此问题,可搜索的加密已合并。在本文中,我们提出了一个安全有效的可搜索的加密方案,支持在1到N个设置中支持多关键字搜索。该方案主要适用于关键字数量有限的场景,但文件数量是巨大的,例如共享某个字段的全面知识库。通过巧妙地利用多输入内部产品功能加密,云服务器能够用仅包含两个项目的搜索令牌完成搜索过程。它显着降低了通信和运输开销。通过使用反相索引结构和超级增量序列,我们的计划实现了有效的多关键字搜索。此外,我们的计划避免了数据所有者和数据用户之间的每个查询交互。也就是说,数据所有者不需要留在网上等待数据用户搜索他的档案。另一方面,该方案同时也实现了部分令牌隐私,索引隐私和令牌隐私。

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