Journal of Information Security Reserach ›› 2023, Vol. 9 ›› Issue (2): 180-.

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Data Analysis of Top International Conferences on Cyberspace  Security in Mainland China Based on Knowledge Graph

  

  • Online:2023-02-01 Published:2023-01-24

基于知识图谱的中国大陆网络空间安全国际顶级会议数据分析

刘鹏1,2焦小彤2何睎杰2王鹤1张玉清1,2
  

  1. 1(西安电子科技大学广州研究院广州510555)
    2(中国科学院大学国家计算机网络入侵防范中心北京100049)
  • 通讯作者: 刘鹏 硕士研究生.主要研究方向为知识图谱、网络空间安全. liup2@nipc.org.cn
  • 作者简介:刘鹏 硕士研究生.主要研究方向为知识图谱、网络空间安全. liup2@nipc.org.cn 焦小彤 硕士研究生.主要研究方向为知识图谱、网络空间安全. jiaoxt @nipc.org.cn 何睎杰 主要研究方向为网络空间安全. hexijie19@mails.ucas.ac.cn 王鹤 博士,副教授.主要研究方向为密码学、量子密码学和量子通信协议. hewang@xidian.edu.cn 张玉清 教授,博士生导师.主要研究方向为网络攻击与防御、安全漏洞挖掘与利用、网络与系统安全. zhangyq@nipc.org.cn

Abstract: In the four top academic conferences in the field of security (ACM CCS, NDSS, USENIX Security, IEEE S&P) and the three top academic conferences in cryptography (CRYPTO, EUROCRYPT, ASIACRYPT), not only contains a lot of academic knowledge, but also hides Large amounts of structured academic data with academic associations. Based on technologies such as Web crawler and natural language processing, this paper obtains the conference paper data of the four top conferences in the security field and the three major cryptographic conferences from the Internet, and performs entity relationship extraction, data completion and data fusion to obtain a structured Paper data; further based on the neo4j graph database, designed and constructed the data ontology and relationship, imported the paper data, and established the knowledge map based on the above seven conferences for the first time. And based on the knowledge map, the statistics of the domestic publication data are analyzed, and the development and trend of the domestic security field and cryptography research are analyzed. The construction of the toplevel conference knowledge map is helpful to sort out the development of top academic achievements in the domestic security field and cryptography, and better promote the research and development of my country’s security field and cryptography field.

Key words: cryptography, academic knowledge graph, natural language processing, graph database, Web crawler

摘要: 在安全领域的4大顶级学术会议(ACM CCS,NDSS,USENIX Security,IEEE S&P)和3大密码学顶级学术会议(CRYPTO,EUROCRYPT,ASIACRYPT)中,不仅包含了大量的学术知识,还隐藏着大量结构化的学术数据与学术关联.基于网络爬虫、自然语言处理等技术,从互联网上获取了安全领域的4大顶级会议和3大密码会议论文的数据,并进行实体关系提取、数据补全与数据融合,得到结构化的论文数据;进一步基于neo4j图数据库,设计构建了数据本体与关系,导入论文数据,首次建立了基于上述7大会议的知识图谱.并基于知识图谱统计出国内的发文数据,对国内安全领域和密码学研究的发展与趋势进行了分析.顶级会议知识图谱的构建有助于梳理国内安全领域和密码学顶级学术成果的发展脉络,更好地推动我国安全领域和密码学领域的研究与发展.

关键词: 学术数据, 学术知识图谱, 自然语言处理, 图数据库, 网络爬虫