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Research on the privacy-preserving retrieval over ciphertext on cloud

机译:在云上保护隐私保留检​​索的研究

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With the development of cloud storage services, more and more users choose to store their information and data in the cloud and use Cloud Service Provider to manage their data. In order to ensure the security of the data in the cloud, users will encrypt their data before store it in the cloud. Although the encryption ensure the security of the data, it brings some problem to users when searching their data at the same time. At present, the research on the technology of the plain text has been relatively mature, how to study for a retrieval technology over cipher text in the cloud is the key to cipher text retrieval technology. In this paper, we analyze the existing search algorithm over cipher text, for the problem that most algorithm will disclosure user's access patterns, we propose a new method of private information retrieval supporting keyword search which combined with homomorphic encryption and private information retrieval. This method can achieve the query operation without disclose private information of both sides. In view of the efficiency problem of the private information retrieval scheme, we introduce the MapReduce into the search algorithm which can meet both the efficiency and privacy requirements.
机译:随着云存储服务的发展,越来越多的用户选择将其信息和数据存储在云中并使用云服务提供商来管理其数据。为了确保云中数据的安全性,用户将在将其存储在云中之前加密数据。虽然加密确保数据的安全性,但在同时搜索数据时,它会对用户带来一些问题。目前,普通文本技术的研究一直相对成熟,如何在云中的密文中研究检索技术是密码文本检索技术的关键。在本文中,我们通过密码分析了现有的搜索算法,对于大多数算法将公开用户的访问模式的问题,我们提出了一种新的私人信息检索方法,其与同性恋加密和私人信息检索相结合。该方法可以实现查询操作而不透露两侧的私人信息。鉴于私人信息检索方案的效率问题,我们将MapReduce介绍到搜索算法中,可以满足效率和隐私要求。

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