Warren, Steve, Oxburgh, Gavin, Briggs, Pamela and Wall, David (2017) How might Crime-Scripts be used to Support the Understanding and Policing of Cloud Crime? In: Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings. Lecture Notes in Computer Science (10292). Springer, Cham, pp. 539-556. ISBN 9783319584591
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Abstract
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.
Item Type: | Book Section |
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Uncontrolled Keywords: | Crime scripts, cloud-crime, cyber-crime |
Subjects: | C800 Psychology G500 Information Systems M900 Other in Law |
Department: | Faculties > Arts, Design and Social Sciences > Social Sciences Faculties > Health and Life Sciences > Psychology |
Related URLs: | |
Depositing User: | Paul Burns |
Date Deposited: | 15 Jun 2017 12:13 |
Last Modified: | 31 Jul 2021 12:01 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/31109 |
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