Introducing object-oriented modelling to cybercrime scripting
Publication - October 2024
Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies.
Refining Crime Script Analysis with OOM
In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth.
Static and Dynamic Models in UML
Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts.
Benefits of Improved Visualisation
In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
Authors
- Renushka Madarie
- Marleen Weulen Kranenbarg
- Christianne de Poot
Forensic Science research group
From DNA testing to chemical analysis: modern techniques enable examination, in minute detail, of crime-scene materials. However, success and fairness depend on correct interpretation and evaluation. The Forensic Science research group is making an important contribution via its work with the police and other parties in the criminal justice chain.