Computer Engineering and Applications ›› 2022, Vol. 58 ›› Issue (4): 40-51.DOI: 10.3778/j.issn.1002-8331.2107-0038

• Research Hotspots and Reviews • Previous Articles     Next Articles

Research on Bibliometric Analysis of Fully Homomorphic Encryption

CHEN Zhigang, SONG Xinxia, ZHENG Mengce, LIU Tiancheng   

  1. 1.College of Information and Intelligent Engineering, Zhejiang Wanli University, Ningbo, Zhejiang 315100, China
    2.College of Junior, Zhejiang Wanli University, Ningbo, Zhejiang 315100, China
  • Online:2022-02-15 Published:2022-02-15

全同态加密文献计量分析研究

陈智罡,宋新霞,郑梦策,刘天成   

  1. 1.浙江万里学院 信息与智能工程学院,浙江 宁波 315100
    2.浙江万里学院 基础学院,浙江 宁波 315100

Abstract: Fully homomorphic encryption can arbitrarily process ciphertext data without decryption. This special property of fully homomorphic encryption provides a good solution for privacy-preserving outsourced storage and computation, and it has attracted attentions of researchers from both academia and industry. With the continuous maturity of fully homomorphic encryption technology, especially the current worldwide emphasis on the privacy and security of personal information, how to analyze it in detail from the perspective of the knowledge system is of great significance to all sectors of society. Bibliometric analysis method is an important method to analyze the existing research work on a scientific research topic. As the lack of research work based on bibliometric analysis in the field of fully homomorphic encryption, this paper carries out a fully homomorphic encrypted bibliometric research from the perspective of bibliometrics. This paper selects Web of Science(WoS) and CNKI as the reference database to screen all fully homomorphic encrypted papers from 2009 to 2020 before doing bibliometric analysis. CiteSpace is used to analyze the collected paper. This paper presents the development of fully homomorphic encryption in recent years, and provides a guide for the application and practice of fully homomorphic encryption by analyzing the trend of published journals, high cited papers, funding organizations and practical applications.

Key words: fully homomorphic encryption, bibliometrics, Web of Science, CNKI, CiteSpace

摘要: 全同态加密在不解密的情况下,能够对密文数据进行任意处理。这种特殊的性质能够立竿见影地解决数据隐私安全问题。目前全同态加密已经成为学术界、工业界乃至商业界的热门话题。随着全同态加密技术的不断成熟,尤其是目前全世界对个人信息隐私安全的重视,如何从知识体系的角度对其进行详细分析对社会各界有重要的意义。文献计量分析方法是分析某项科研主题现有研究工作的重要方法,鉴于目前在全同态加密领域缺少基于文献计量分析的研究工作,从文献计量学的角度开展全同态加密文献计量研究。选取Web of Science(WoS)与中国知网(CNKI)作为参考文献数据库,对2009年到2020年的所有全同态加密相关论文筛选后进行文献计量分析。对收集到的论文运用CiteSpace进行了辅助的统计分析,给出了对同态加密近年来的发展、发文期刊、高引用论文、基金资助机构以及实际应用趋势的分析,为全同态加密的应用与实践提供指导。

关键词: 全同态加密, 文献计量, Web of Science, 知网, CiteSpace