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首页> 外文期刊>Computers & Security >A lightweight privacy and integrity preserving range query scheme for mobile cloud computing
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A lightweight privacy and integrity preserving range query scheme for mobile cloud computing

机译：用于移动云计算的轻量级隐私和完整性保护范围查询方案

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摘要

Mobile cloud computing has received a particular attention in recent years thanks to the expansion and easy accessibility of smartphones with enhanced capabilities, pushing for data owners to outsource more data to the cloud in order to serve the increasing number of mobile users. To protect data privacy, data have to be encrypted prior to outsourcing. Nevertheless, mobile users should still be able to query data, get the results corresponding to their requests and verify the integrity of the query results, all within a query privacy-preserving and efficient fashion. We focus in this work on the secure range query allowing to search for data belonging to a specific range. At the difference of previous works where data privacy and query results verification require separate structures and thus more overhead, our work achieves both data privacy and query results completeness verification using the encrypted data index and the vector neighbor chain (VNC). As a response to the intrinsic limitations of mobile devices, we design a lightweight protocol based on linear algebra operations for both 1-dimensional and multi-dimensional data. Practical experiments analysis on a real-world U.S. Census demographic dataset shows that our scheme guarantees the privacy-preserving property and is efficient in terms of computation and communication overhead. (C) 2019 Elsevier Ltd. All rights reserved.
机译：近年来，由于具有增强功能的智能手机的扩展和易访问性，移动云计算受到了特别的关注，这促使数据所有者将更多数据外包给云，以便为越来越多的移动用户提供服务。为了保护数据隐私，必须在外包之前对数据进行加密。尽管如此，移动用户仍应能够以保护隐私和高效的方式查询数据，获取与他们的请求相对应的结果并验证查询结果的完整性。我们将这项工作集中在安全范围查询上，该安全范围查询允许搜索属于特定范围的数据。与以前的工作不同，在这些工作中，数据隐私和查询结果验证需要单独的结构，因此需要更多的开销，我们的工作使用加密的数据索引和向量邻居链（VNC）来实现数据隐私和查询结果完整性验证。为了应对移动设备的固有局限性，我们针对一维和多维数据设计了基于线性代数运算的轻量级协议。在真实的美国人口普查人口数据集上进行的实际实验分析表明，我们的方案可以保证隐私保护性，并且在计算和通信开销方面非常有效。 （C）2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Computers & Security》 |2019年第7期|318-333|共16页
  • 作者

    Xu Zhou; Lin Yaping; Sandor Voundi Koe Arthur; Huang Zhisheng; Liu Xinbo;

  • 作者单位

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, 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 cloud computing; Privacy; Integrity; Range query; Lightweight;

    机译：移动云计算隐私完整性范围查询轻量级;

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