首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于文献计量和知识图谱可视化的安全多方计算研究现状及热点分析
引用本文:袁科,程自伟,范廷钰,李征.基于文献计量和知识图谱可视化的安全多方计算研究现状及热点分析[J].科学技术与工程,2022,22(1):267-276.
作者姓名:袁科  程自伟  范廷钰  李征
作者单位:河南大学计算机与信息工程学院,河南大学计算机与信息工程学院,河南大学国际教育学院,河南大学计算机与信息工程学院
基金项目:国家重点基础研究发展计划(973计划),国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:安全多方计算技术为不泄露隐私数据的多方参与协同计算提供新的解决方法,该领域一直受到国内外密码学学者的重点关注。为客观地反映当前安全多方计算的研究现状,探讨安全多方计算的基本知识和研究热点。以Web of Science核心合集数据库1985—2020年的安全多方计算相关研究文献为基础,采用文献计量的可视化分析方法,对研究文献进行年发文量分布、期刊分布、核心作者、研究机构、引文分析、关键词共现分析六个方面进行定量统计和定性分析。结果表明:安全多方计算已经成为密码学界关注的一个研究热点,文献年发文量总体上保持增长的趋势,但国内外的学术研究团体呈现地域化特点,互动交流较少。研究热点主要围绕安全多方计算模型研究、应用协议研究、基础模块研究和量子安全多方计算四个方面。可见随着新形势下隐私信息安全越来越被重视,安全多方计算将迎来广泛的研究和应用前景。

关 键 词:安全多方计算    研究现状    研究热点    文献计量    可视化分析
收稿时间:2021/4/8 0:00:00
修稿时间:2021/10/13 0:00:00

Research Status and Hotspots of Secure Multi-Party Computation Based on Bibliometrics and Knowledge Mapping Visualization
Yuan Ke,Cheng Ziwei,Fan Tingyu,Li Zheng.Research Status and Hotspots of Secure Multi-Party Computation Based on Bibliometrics and Knowledge Mapping Visualization[J].Science Technology and Engineering,2022,22(1):267-276.
Authors:Yuan Ke  Cheng Ziwei  Fan Tingyu  Li Zheng
Institution:School of Computer and Information Engineering, Henan University,,
Abstract:Secure multi-party computation technology provides new solutions for collaborative computation with multi-party participation without disclosing private data, and this area has been receiving focused attention from cryptographic scholars at home and abroad. In order to objectively reflect the current research status of secure multi-party computation and explore the basic knowledge and research hotspots of secure multi-party computation. Based on the research papers related to secure multi-party computation in the Web of Science core collection database from 1985 to 2020, a visual analysis method of bibliometrics is used to quantitatively and qualitatively analyze the research literature in six aspects: annual publication distribution, journal distribution, core authors, research institutions, citation analysis, and keyword co-occurrence analysis . The results show that secure multi-party computation has become a research hotspot in the cryptographic community, and the number of annual publications has generally maintained a growing trend, but the academic research groups at home and abroad are characterized by regionalization and less interactive communication. The research hotspots mainly revolve around four aspects: secure multi-party computation model research, application protocol research, basic module research and quantum secure multi-party computation. It can be seen that with the increasing attention to privacy and information security in the new situation, secure multi-party computation will usher in a wide range of research and application prospects.
Keywords:
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号