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首页> 外文期刊>The Journal of Systems and Software >Secure multi-keyword ranked search over encrypted cloud data for multiple data owners
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Secure multi-keyword ranked search over encrypted cloud data for multiple data owners

机译：针对多个数据所有者的加密云数据进行安全的多关键字排名搜索

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摘要

Secure multi-keyword ranked search over outsourced cloud data has become a hot research field. Most existing works follow the model of “Single Owner”, which just supports searching on the outsourced data belong to only one data owner. But the more realistic scenario is “Multiple Owners”, users could search on all datasets outsourced by different data owners. However, directly extending “Single Owner” schemes into “Multiple Owners” scenario still face the major two challenges: (1) the inconvenient key management and the resulting high communication cost; (2) due to the different authorities of owners, the qualities of documents are also different even if they are about the similar topic, but current rank functions in this area cannot rank documents based on their qualities. In this paper, we propose a secure multi-keyword ranked search scheme for multiple data owners. A trusted third party is imported to solve the problem of key management. We exploit the vector space model for generating index and query, and our new-designed KDO algorithm is utilized for providing keyword weight, so that the rank function not only considers about the relevance between query and document, but also takes into account the document quality. In order to protect privacy for both owners and users, the Asymmetric Scalar-product Preserving Encryption approach is utilized for encrypting weighted index and query. Besides, we construct the Grouped Balanced Binary tree index, which could further improve the search efficiency by Greedy Depth-first search algorithm. Extensive experiments demonstrate that our proposed scheme is secure, accurate and efficient.
机译：通过外包云数据进行安全的多关键字排名搜索已成为热门研究领域。现有的大多数作品都遵循“单一所有者”的模型，该模型仅支持搜索仅属于一个数据所有者的外包数据。但是更现实的情况是“多个所有者”，用户可以搜索由不同数据所有者外包的所有数据集。但是，直接将“单所有者”方案扩展到“多所有者”方案仍然面临两个主要挑战：（1）密钥管理不便，由此产生的高昂通信成本； （2）由于所有者的权限不同，即使文件的主题相似，其质量也有所不同，但是该领域当前的排名功能无法根据文件的质量对其进行排名。在本文中，我们提出了一种针对多个数据所有者的安全的多关键字排名搜索方案。引入受信任的第三方来解决密钥管理问题。我们利用向量空间模型生成索引和查询，并使用我们新设计的KDO算法来提供关键字权重，从而使rank函数不仅考虑查询和文档之间的相关性，而且还考虑了文档质量。为了保护所有者和用户的隐私，非对称标量产品保存加密方法用于加密加权索引和查询。此外，我们构造了分组平衡二叉树索引，可以通过贪婪深度优先搜索算法进一步提高搜索效率。大量实验表明，我们提出的方案是安全，准确和高效的。

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  • 来源
    《The Journal of Systems and Software》 |2018年第3期|380-395|共16页
  • 作者

    Ziqing Guo; Hua Zhang; Caijun Sun; Qiaoyan Wen; Wenmin Li;

  • 作者单位

    State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications;

    State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications;

    State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications;

    State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications;

    State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Secure keyword search; Multiple owners; Document quality; Cloud computing;

    机译：安全的关键字搜索;多个所有者;文档质量;云计算;

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