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.
翻译:为了提供一致的网络安全研究概览,利用Scopus学术抽象和引证数据库,制作了1949年至2020年初在该领域活跃的98 373名作者的引证图;将Louvain社区检测算法应用于该图,以查明现有的研究社区;分析发现了12个顶层社区:访问控制、认证、生物鉴别、密码学(I & II)、网络物理系统、信息隐藏、入侵检测、恶意软件、量子加密、传感器网络和可用安全;这些顶层社区又由总共80个子社区组成;分析结果以描述性文字、次社区图和表格的形式向每个社区提供,例如,用最上面的论文和作者提供;还比较了所探测到的社区和其他有关工作界定的专题领域,显示研究者更加强调加密、量子加密、信息隐藏和生物鉴别,牺牲了法规、风险管理和治理以及软件生命周期。