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Verifiable keyword search for secure big data-based mobile healthcare networks with fine-grained authorization control

机译：可验证的关键字搜索，用于具有细粒度授权控制的安全的基于大数据的移动医疗网络

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摘要

Mobile healthcare networks (MHNs) are increasingly viewed as potential applications for further improving the quality and efficiency of healthcare, with the rapid development of wearable devices. Wearable devices can generate a huge amount of health data, causing big data to be one of the most prominent features. The privacy and security of big data-based MHNs are major concerns of users, and these are the overriding obstacles that stand in the way of the wider adoption of MHNs. For the sake of security, health data is encrypted and stored on an untrusted server. However, the flexibility of the data is thereby affected, such as a search over encrypted health data, or authorization control for a search and verification of the search result. To address these problems, we propose a verifiable keyword search scheme for big data-based MHNs with fine-grained authorization control. In the proposed scheme, when sending the search request to the healthcare provider for the first time, the user needs to check whether he or she has the right to search within encrypted health data. Only authorized users can generate valid trapdoors for searching. Our verification technique is constructed based on an invertible Bloom lookup table and a Merkle hash tree, which can verify the completeness and correctness of the search result even if an empty set is returned by a dishonest healthcare provider. The security analysis shows that the proposed scheme is secure against chosen keyword attacks. The proposed scheme is efficient with low computation load, which can be used to perform eyword searches and verify the search results quickly in a big data environment. (C) 2017 Elsevier B.V. All rights reserved.
机译：随着可穿戴设备的快速发展，移动医疗网络（MHN）被日益视为潜在的应用，可进一步提高医疗质量和效率。可穿戴设备会生成大量的健康数据，从而使大数据成为最突出的功能之一。基于大数据的MHN的隐私性和安全性是用户的主要关注点，而这是MHN广泛采用的主要障碍。为了安全起见，健康数据被加密并存储在不受信任的服务器上。但是，数据的灵活性因此受到影响，例如对加密的健康数据的搜索或对搜索结果的搜索和验证的授权控制。为了解决这些问题，我们针对具有精细粒度授权控制的基于大数据的MHN提出了一种可验证的关键字搜索方案。在提出的方案中，当第一次将搜索请求发送给医疗保健提供者时，用户需要检查他或她是否有权在加密的健康数据中进行搜索。只有授权用户才能生成有效的陷阱门进行搜索。我们的验证技术基于可逆的Bloom查找表和Merkle哈希树构造而成，即使不诚实的医疗保健提供者返回了空集，也可以验证搜索结果的完整性和正确性。安全性分析表明，所提出的方案对选择的关键词攻击是安全的。所提出的方案效率高，计算量少，可用于大数据环境下的关键词搜索和快速验证搜索结果。 （C）2017 Elsevier B.V.保留所有权利。

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  • 来源
    《Future generation computer systems》 |2018年第10期|712-724|共13页
  • 作者

    Chen Zehong; Zhang Fangguo; Zhang Peng; Liu Joseph K.; Huang Jiwu; Zhao Hanbang; Shen Jian;

  • 作者单位

    Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China|Shenzhen Univ, Shenzhen Key Lab Media Secur, Shenzhen, Peoples R China;

    Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R China|Sun Yat Sen Univ, Guangdong Key Lab Informat Secur, Guangzhou, Guangdong, Peoples R China;

    Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China|Shenzhen Univ, ATR Key Lab Natl Def Technol, Shenzhen, Peoples R China;

    Monash Univ, Fac Informat Technol, Melbourne, Vic, Australia;

    Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China|Shenzhen Univ, Shenzhen Key Lab Media Secur, Shenzhen, Peoples R China;

    Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China|Shenzhen Univ, ATR Key Lab Natl Def Technol, Shenzhen, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Coll Comp & Software, Nanjing, Jiangsu, Peoples R China;

  • 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

    Mobile healthcare networks; Big data; Verifiable keyword search; Authorization control; Invertible Bloom lookup table;

    机译：移动医疗网络;大数据;可验证的关键字搜索;授权控制;可逆Bloom查找表;

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