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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
zhfzpk: 金币+20, ★★★★★最佳答案 2021-06-05 20:27:51
sunshan4379: LS-EPI+1, 感谢应助! 2021-06-06 12:00:18
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
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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
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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 hysics
Web 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 |
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