Zoekresultaten

Coping with cybercrime victimization: An exploratory study into impact and change

In order to find out whether victims adequately recover from cybercrime incidents, it is important to gain insight into its effects and impact on users. However, as it stands now, there is not much literature on the impact of cybercrime. We address this gap by qualitatively examining the impact of two types of cybercrime, namely phishing and malware attacks targeting online banking customers. We used the coping approach as a framework to study how victims deal with the negative events they have experienced. In order to study the impact of cybercrime and how victims cope with it, 30 cybercrime victims were interviewed. We observed that, next to financial damage, victims described different forms of psychological and emotional effects. Victims also reported various kinds of secondary impacts, such as time loss and not being treated properly when handling the incident. In addition, the interview data provided insight into cognitive and behavioral change, which potentially offers opportunities for cybercrime prevention. Our study demonstrates that the level of impact varies among cybercrime victims, ranging from little or no impact to severe impact. In addition, while some victims were only affected for a few days, some were still feeling the effects. The effects and impact of these fraudulent schemes on victims should therefore not be underestimated. We conclude that the coping approach provides a useful framework to study the effects and impact of cybercrime victimization and how victims recover from it. The results of our study provide a steppingstone for future studies on this topic. https://www.linkedin.com/in/rutgerleukfeldt/

Introducing object-oriented modelling to cybercrime scripting: visualisation for improved analysis

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. 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 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. 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.

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The Hybridization of Street Offending in the Netherlands

Based on the results of two research projects from the Netherlands, this paper explores how street oriented persons adapt and use digital technologies by focusing on the changing commission of instrumental, economically motivated, street crime. Our findings show how social media are used by street offenders to facilitate or improve parts of the crime script of already existing criminal activities but also how street offenders are engaging in criminal activities not typically associated with the street, like phishing and fraud. Taken together, this paper documents how technology has permeated street life and contributed to the ‘hybridization’ of street offending in the Netherlands—i.e. offending that takes place in person and online, often at the same time.

Cybercriminal networks in the UK and Beyond

This article examines the network structure, criminal cooperation, and external interactions of cybercriminal networks. Its contribution is empirical and inductive. The core of this study involved carrying out 10 case analyses on closed cybercrime investigations – all with financial motivations on the part of the offenders - in the UK and beyond. Each analysis involved investigator interview and access to unpublished law enforcement files. The comparison of these cases resulted in a wide range of findings on these cybercriminal networks, including: a common division between the scam/attack components and the money components; the presence of offline/local elements; a broad, and sometimes blurred, spectrum of cybercriminal behaviour and organisation. An overarching theme across the cases that we observe is that cybercriminal business models are relatively stable.

The psychological and financial impact of cybercrime victimization

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens (N = 33,702), exploring the psychological and financial impact for different groups of cybercrime victims. The results showed a higher negative impact on emotional well-being for victims of person-centered cybercrime, victims for whom the offender was an acquaintance, and victims whose financial loss was not compensated and a lower negative impact on emotional well-being for victims with a higher income. The study led to novel scientific insights and showed the applicability of the SAT for developing hypotheses about cybercrime victimization impact. In this study, most hypotheses had to be rejected, leading to the conclusion that more work has to be done to test the applicability of the SAT in the field of cybercrime. Furthermore, policy implications were identified considering the prioritization of and approach to specific cybercrimes, treatment of victims, and financial loss compensation.