  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.
