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Verifiable keyword search over encrypted cloud data in smart city

机译:验证关键字搜索智能城市中加密的云数据

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Highlights?The proposed verifiable attribute-based keyword search scheme allows users to check the correctness of search results.?The access privileges of the same data are considered in proposed scheme.?The computational and storage costs in proposed scheme are acceptable for the resources-limited devices in smart city.Graphical abstractDisplay OmittedAbstractIn smart city, which integrates the Information and Communication Technologies (ICT) including cloud computing and internet of things, all kinds of data collected by smart devices help to make everything intelligent. Through outsourcing encrypted data to cloud server, data owners can reduce the high storage and computational burden on resources-constrained smart devices. To further avoid the semi-honest-but-curious cloud server returning a fraction of false search results, this paper proposes a verifiable attribute-based keyword search scheme, thereby allowing users to check the correctness of the search results and achieving the fine-grained access control. Besides, our scheme considers the access privileges of the same data according to attribute-based priority tree. The formal security analysis proves that our scheme is secure against the chosen-keyword attacks in the generic bilinear group model, and the experimental simulations using a real-world dataset demonstrate its efficiency and feasibility in practice.]]>
机译:<![cdata [ 亮点 所提出的验证属性的关键字搜索方案允许用户检查搜索结果的正确性。 同一数据的访问权限在提出的计划中被考虑。 在智能城市的资源限制设备中可以接受所提出的方案的计算和存储成本。 图形抽象 显示省略 抽象 在智能城市中,集成了包括云计算和事物互联网的信息和通信技术(ICT),智能设备收集的各种数据都有帮助让一切聪明。通过将加密数据外包加密数据到云服务器,数据所有者可以减少资源受限智能设备的高存储和计算负担。为了进一步避免半诚实但奇怪的云服务器返回一小部分虚假搜索结果,提出了一种基于验证的属性的关键字搜索方案,从而允许用户检查搜索结果的正确性并实现细粒度访问控制。此外,我们的方案根据基于属性的优先级树考虑相同数据的访问权限。正式的安全分析证明,我们的计划对通用双线性组模型中的所选关键字攻击安全,并且使用现实世界数据集的实验模拟在实践中展示了其效率和可行性。 < / ce:抽象-sec> ]]>

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