Hacktivism represents the promotion in the cyber landscape of ideo-logically motivated agendas using hacking techniques. Despiteresearch on the topic has provided some clues on how hacktivistnetworks develop, the processes behind their evolution remain mostlyunknown. This gap in the literature prompted us to research the role ofonline/offline social relationships and of the offender convergencesettings in the creation, recruitment process and development ofhacktivist networks. This study is based on 30 interviews with hackti-vists, and it uses the social opportunity structures framework to ana-lyze the development of 21 hacktivist networks. The results show thatsaid networks can be divided in sub-categories based on the type ofconnections used to create them. Online social relationships andonline convergence settings (particularly social media platforms andIRC channels) seem to play a key role in the development of hacktivistnetworks, while offline contacts are limited. For the recruitment pro-cess, hacktivists use comparable strategies to any organization, butthree different categories were identified when discussing the level ofsophistication applied to the selection of new candidates.
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Review in het kader van COST Action IS1106 Working group 3 In the review below, we summarize resent empirical research about practising offender supervision in The Netherlands on six theme’s: 1. The roles, characteristics, recruitment and training of key actors in the delivery of offender supervision. 2. Interactions and relationships between key actors in the delivery of offender supervision and other relevant professionals. 3. The delivery/practice/performance of offender supervision. 4. The role of tools and technologies in the delivery of OS. 5. The management, supervision and/or regulation of practitioners and their practice. 6. Reflections / contextual issues Ongoing research is discussed in the descriptions of the different theme’s. We conclude with a short reflection about research on practising supervision in the Netherlands. The review is limited to studies about adults. Studies on community sentences have not yet been addressed, we will do this in the next version.
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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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