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Controllable keyword search scheme supporting multiple users

机译:支持多个用户的可控关键字搜索方案

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摘要

AbstractIn recent years, with the rapid growth of data, data processing in local place is becoming more and more difficult. With the help of cloud computing, more and more people store their data in the remote cloud servers, so that the local storage space can be saved. In order to protect the data privacy, data will be encrypted before uploading. Keyword search technique enables user to retrieve the corresponding files with the required keywords. In traditional keyword search scheme, all the files will be returned to users if they contain the required keywords. However, it is insecure in some cases. If the user has no right to read the files, he can also get the files, although he cannot decrypt them. The user obtains extra information of the files, i.e., the files contain the same required keyword though he/she cannot decrypt them. In this paper, a controllable keyword search scheme is proposed to address this issue. The files which the user has no right to access to cannot be retrieved, even if they contain the required keyword. This scheme is useful and practical especially under the circumstances with hierarchical user groups.HighlightsA novel keyword search scheme with file existence protection is proposed.The ciphertexts cannot be searched if the users are not permit to access to them.The valid query cannot be transformed into another valid query for different keywords by an adversary.The keyword search scheme is flexible and can achieve access control.
机译: 摘要 近年来,随着数据的快速增长,本地数据处理变得越来越困难。借助云计算,越来越多的人将其数据存储在远程云服务器中,从而可以节省本地存储空间。为了保护数据的私密性,数据将在上传前进行加密。关键字搜索技术使用户可以检索具有所需关键字的相应文件。在传统的关键字搜索方案中,如果所有文件包含必需的关键字,则所有文件都将返回给用户。但是,在某些情况下它是不安全的。如果用户无权读取文件,尽管他无法解密文件,但他也可以获取文件。用户获得文件的额外信息,即,尽管文件不能解密,但文件包含相同的必需关键字。本文提出了一种可控的关键词搜索方案来解决这个问题。用户无权访问的文件即使包含必需的关键字也无法检索。该方案特别有用,特别是在具有分层用户组的情况下。 < ce:section-title id =“ d1e544”>突出显示 如果不允许用户访问密文,则无法搜索密文。 有效查询无法转换为针对不同关键字的另一个有效查询对手的攻击。<​​/ ce:para> 关键字搜索方案灵活,可以实现访问控制。 < / ce:抽象>

著录项

  • 来源
    《Future generation computer systems》 |2018年第4期|433-442|共10页
  • 作者

    Jun Ye; Yong Ding;

  • 作者单位

    School of Mathematics and Statistics, Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering,Guangxi Key Laboratory of Cryptography and Information Security;

    School of Computer Science and Information Security, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Keyword search; Controllable; Data privacy;

    机译:关键词搜索;可控;数据隐私;

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