JUCS - Journal of Universal Computer Science 26(7): 783-804, doi: 10.3897/jucs.2020.043
(De-)Constructing Attacker Categorisations: A Typology Iteration for the Case of Digital Banking
Caroline Moeckel‡‡ University of London, London, United Kingdom
Corresponding author: Caroline Moeckel ( caroline.moeckel.2012@live.rhul.ac.uk ) © Caroline Moeckel. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Moeckel C (2020) (De-)Constructing Attacker Categorisations: A Typology Iteration for the Case of Digital Banking. JUCS - Journal of Universal Computer Science 26(7): 783-804. https://doi.org/10.3897/jucs.2020.043 |  |
Abstract
In this extended and updated paper, the experimental construction of a new attacker typology grounded in real-life data is proposed, using grounded theory analysis and over 300 publicly available documents containing details of digital banking related cybercrime and involved attackers. Seven attacker profiles forming the typology specific to the case of digital banking are presented. An initial light-touch evaluation approach based on peer review feedback and basic heuristics is suggested. A short excursus on circumplex models is added to address this visualisation tool used across past categorisation efforts.
Keywords
attackers, threat agents, categorisation, typology, taxonomy, threat modelling, grounded theory, circumplex models, digital banking