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Hongfeng Zhu, Liwei Wang, Chaonan Wang. Privacy-Enhanced Multi-User Quantum Private Data Query Using Partial Quantum Homomorphic Encryption. Int J Theor Phys (2021). Published: 24 May 2021. https://doi.org/10.1007/s10773-021-04827-8 |
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入藏号: WOS:000653581400002 Privacy-Enhanced Multi-User Quantum Private Data Query Using Partial Quantum Homomorphic Encryption 作者:Zhu, HF (Zhu, Hongfeng)[ 1 ] ; Wang, LW (Wang, Liwei)[ 1 ] ; Wang, CN (Wang, Chaonan)[ 1 ] INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS DOI: 10.1007/s10773-021-04827-8 Early access icon在线发表日期: MAY 2021 文献类型:Article; Early Access 查看期刊影响力 摘要 Recently, people are paying more and more attention to privacy-enhanced computing, mostly because of the threat of network information leakage. In order to ensure the security of data in network communication, we have designed privacy-enhanced multi-user quantum private data query using partial quantum homomorphic encryption to facilitate the protection of the personal privacy of the database and users. Many QPQ protocols are based on QKD theory and lack the identity authentication of users. The protocols are vulnerable to external eavesdropping attacks. The identity authentication process of this scheme confirms the real identity of the user and avoids external eavesdropping attacks to a certain extent. The scheme allows the use of universal quantum circuits to perform quantum transformation on the user's arbitrarily encrypted input data, which improves the accuracy of the data query process. In addition, the scheme applies partial quantum homomorphic encryption theory to multi-user quantum private data query, which can realize the function of n users querying data at the same time. We have implemented a security analysis on the scheme and compared with other QPQ protocols, we found that this scheme is safe and effective. 关键词 作者关键词:Quantum private data query; Privacy-enhanced computing; Quantum homomorphic encryption KeyWords Plus:QKD; AUTHENTICATION 作者信息 通讯作者地址: Shenyang Normal University Shenyang Normal Univ, Software Coll, 253 HuangHe Bei St, Shenyang 110034, Peoples R China. 通讯作者地址: Zhu, HF (通讯作者) 显示更多 Shenyang Normal Univ, Software Coll, 253 HuangHe Bei St, Shenyang 110034, Peoples R China. 地址: 显示更多 [ 1 ] Shenyang Normal Univ, Software Coll, 253 HuangHe Bei St, Shenyang 110034, Peoples R China 电子邮件地址:zhuhongfeng1978@163.com; 1696751943@qq.com; 915521870@qq.com 基金资助致谢 基金资助机构 授权号 Liaoning Provincial Natural Science Foundation of China 2019-MS-286 Basic Scientific Research Project of Liaoning Provincial Department of Education LJC202007 查看基金资助信息 出版商 SPRINGER/PLENUM PUBLISHERS, 233 SPRING ST, NEW YORK, NY 10013 USA 期刊信息 Impact Factor (影响因子): Journal Citation Reports 类别 / 分类 研究方向  hysicsWeb of Science 类别 hysics, Multidisciplinary文献信息 语言:English 入藏号: WOS:000653581400002 ISSN: 0020-7748 eISSN: 1572-9575 其他信息 IDS 号: SG6WE Web of Science 核心合集中的 "引用的参考文献": 20 Web of Science 核心合集中的 "被引频次": 0 |
2楼2021-06-05 10:14:41