ESPQuery: An Enhanced Secure Scheme for Privacy-Preserving Query Based on Untrusted Devices in the Internet of Things
ESPQuery: An Enhanced Secure Scheme for Privacy-Preserving Query Based on Untrusted Devices in the Internet of Things
复制标题
ESPQuery：物联网中基于不可信设备的增强型安全隐私保护查询方案
DOI：
10.1109/jiot.2020.3038928
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发表时间：
2021-05
影响因子：
10.6
通讯作者：
Shen Yan
中科院分区：
文献类型：
--
作者：
D;an Li;Xiaohong Hunag;Wei Huang;Fei Gao;Shen Yan
物联网的发展带来了各种各样的物联网服务，方便和丰富了人类的生活。所有这些服务都存在隐私泄露的风险。物联网查询作为一种典型的服务，其隐私保护问题一直备受关注。基于计算难度的经典密码方案是解决上述问题的最佳候选方案。随着量子计算的出现，这些方案的安全性可能会被一些先进量子算法的强大能力所打破。在量子计算的威胁下，如何设计一种安全的隐私保护查询方案至关重要。为此，我们构建了物联网场景下隐私保护查询的通用架构。除了信任模型和诚实但好奇模型外，我们还提出了一种在不可信设备场景下也有效的隐私保护查询方案。我们提供详细的安全分析。结果表明，该方案实现了服务提供者和客户端的隐私保护。
The development of the Internet of Things (IoT) has brought various IoT services, which facilitate and enrich human life. All these services are at risk of privacy leakage. The privacy-preserving issue of IoT query, which is a typical service, has attracted much attention. A superior candidate for solving the above issue is classical cryptographic schemes based on the computational difficulty. With the advent of quantum computation, the security of such schemes may be broken by the strong ability of some advanced quantum algorithms. How to design a secure scheme for privacy-preserving query under the threat of quantum computation is crucial. To this end, we construct a general architecture of privacy-preserving query in IoT scenarios. Besides trust or honesty-but-curious models, we present a scheme for privacy-preserving query which is also valid in the scenario of untrusted devices. We provide a detailed security analysis. The result shows our scheme achieves private preservation of both service providers and clients.
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影响因子：
10.6
作者：
C. Li;Balaji Palanisamy
通讯作者：
C. Li;Balaji Palanisamy
DOI：
--
发表时间：
2004
期刊：
--
影响因子：
--
作者：
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影响因子：
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影响因子：
1.9
作者：
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通讯作者：
McLaughlin, Stephen
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影响因子：
12.9
作者：
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