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Research on the privacy-preserving retrieval over ciphertext on cloud

机译:云上密文的隐私保护检索研究

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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Cloud Service Provider来管理其数据。为了确保云中数据的安全性,用户在将数据存储在云中之前将对其进行加密。尽管加密可以确保数据的安全性,但在同时搜索数据时给用户带来了一些问题。目前,对纯文本技术的研究已经比较成熟,如何研究云中密文的检索技术是密文检索技术的关键。本文分析了现有的基于密文的搜索算法,针对大多数算法都会泄露用户访问模式的问题,提出了一种新的支持关键字搜索的信息检索方法,该方法结合了同态加密和私有信息检索。该方法可以实现查询操作,而不会泄露双方的私有信息。针对私有信息检索方案的效率问题,将MapReduce引入到既能满足效率要求又能满足隐私要求的搜索算法中。

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