In order to provide a coherent overview of cyber security research, the Scopus academic abstract and citation database was mined to create a citation graph of 98,373 authors active in the field between 1949 and early 2020. The Louvain community detection algorithm was applied to the graph in order to identify existing research communities. The analysis discovered twelve top-level communities: access control, authentication, biometrics, cryptography (I & II), cyber–physical systems, information hiding, intrusion detection, malwares, quantum cryptography, sensor networks, and usable security. These top-level communities were in turn composed of a total of 80 sub-communities. The analysis results are presented for each community in descriptive text, sub-community graphs, and tables with, for example, the most-cited papers and authors. A comparison between the detected communities and topical areas defined by other related work, is also presented, demonstrating a greater researcher emphasis on cryptography, quantum cryptography, information hiding and biometrics, at the expense of laws and regulation, risk management and governance, and security software lifecycle.

为了提供网络安全研究的连贯概览，我们挖掘了 Scopus 学术摘要和引文数据库，创建了 1949 年至 2020 年初活跃在该领域的 98,373 位作者的引文图。 Louvain 社区检测算法应用于图以确定现有的研究社区。分析发现了 12 个顶级社区：访问控制、身份验证、生物识别、密码学（I 和 II）、网络物理系统、信息隐藏、入侵检测、恶意软件、量子密码学、传感器网络和可用安全。这些顶级社区又由总共80个子社区组成。每个社区的分析结果以描述性文本、子社区图表和表格的形式呈现，例如，引用次数最多的论文和作者。