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How might crime-scripts be used to support the understanding and policing of cloud crime?

Lookup NU author(s): Steve Warren, Professor Gavin Oxburgh, Professor Pam Briggs

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Abstract

© Springer International Publishing AG 2017. Crime scripts are becoming an increasingly popular method for understanding crime by turning a crime from a static event into a process, whereby every phase of the crime is scripted. It is based on the work relating to cognitive scripts and rational-choice theory. With the exponential growth of cyber-crime, and more specifically cloud-crime, policing/law enforcement agencies are struggling with the amount of reported cyber-crime. This paper argues that crime scripts are the most effective way forward in terms of helping understand the behaviour of the criminal during the crime itself. They act as a common language between different stakeholders, focusing attention and resources on the key phases of a crime. More importantly, they shine a light on the psychological element of a crime over the more technical cyber-related elements. The paper concludes with an example of what a cloud-crime script might look like, asking future research to better understand: (i) cloud criminal fantasy development; (ii) the online cultures around cloud crime; (iii) how the idea of digital-drift affects crime scripts, and; (iv) to improve on the work by Ekblom and Gill in improving crime scripts.

Publication metadata

Author(s): Warren S, Oxburgh G, Briggs P, Wall D

Editor(s): Tryfonas T

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Human Aspects of Information Security, Privacy, and Trust (HAS 2017)

Year of Conference: 2017

Pages: 539-556

Online publication date: 13/05/2017

Acceptance date: 02/04/2016

Publisher: Springer Verlag

URL: https://doi.org/10.1007/978-3-319-58460-7_38

DOI: 10.1007/978-3-319-58460-7_38

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN: 9783319584591

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