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Efficient Ranked Multi-Keyword Retrieval With Privacy Protection for Multiple Data Owners in Cloud Computing

机译：高效排名的多关键字检索，隐私保护在云计算中的多个数据所有者

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摘要

With the significant rise in the demand for infinite storage resource and high-quality retrieval service, cloud computing is deemed to be a highly remarkable technology. For privacy concerns, several research works on ranked multi-keyword search over the encrypted cloud data under multiple data owner model have been developed. However, most of these schemes are vulnerable to keyword guessing attacks and equivalence test attack. Besides, they cannot accurately return the top-k ranked search results from the encrypted data of different data owners to the data users. Obviously, these drawbacks may incur leakage of privacy-sensitive keyword information and the inaccuracy of returned search results. Therefore, in this article, we first propose a novel efficient ranked multi-keyword retrieval scheme with keyword privacy for multiple data owners, which empowers the cloud server to perform multi-keyword search over the cloud data and then, return the top-k ranked search results to data users without leaking any keyword and trapdoor information. Additionally, we show through rigorous security analysis that our scheme is secure against the attacks launched by inside attackers and outside attackers. Finally, the performance evaluation indicates that our scheme has more satisfactory features than the existing ranked multi-keyword search schemes.
机译：随着无限存储资源和高质量检索服务的需求的显着增加，云计算被认为是一种非常显着的技术。对于隐私问题，已经开发出在多个数据所有者模型下对加密云数据进行的几个研究工作。但是，大多数这些方案都容易受到关键字猜测攻击和等效测试攻击的影响。此外，它们无法准确地将不同数据所有者的加密数据中的Top-K排名的搜索结果返回到数据用户。显然，这些缺点可能会产生隐私敏感关键字信息的泄漏以及返回的搜索结果的不准确性。因此，在本文中，我们首先提出了一种新的高效排名的多关键字检索方案，具有多个数据所有者的关键字隐私，从而使云服务器在云数据上执行多关键字搜索，然后返回排名的顶级k在不泄露任何关键字和陷阱信息的情况下，搜索结果向数据使用者。此外，我们通过严格的安全分析表明，我们的计划对攻击者和外部攻击者推出的攻击是安全的。最后，性能评估表明我们的方案具有比现有的排名多关键字搜索方案更令人满意的特征。

著录项

  • 来源
    《IEEE systems journal》 |2020年第2期|1728-1739|共12页
  • 作者

    Sun Jianfei; Hu Shengnan; Nie Xuyun; Walker Joojo;

  • 作者单位

    Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 610051 Peoples R China;

    Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 610051 Peoples R China;

    Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 610051 Peoples R China|Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China;

    Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 610051 Peoples R China;

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

    Cloud computing; multi-keyword retrieval; multiple data owner model; privacy sensitive; ranked;

    机译：云计算;多关键字检索;多个数据所有者模型;隐私敏感;排名;

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