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Situational Crime Prevention (SCP) techniques to prevent and control cybercrimes: A focused systematic review

The work

AuthorsHeemeng Ho; Ryan K. L. Ko; LORRAINE GREEN MAZEROLLE
Editors
Typemisc
Year2022
Citekeyho2022situational

Where it appeared

Published inComputers & Security
PublisherElsevier BV
Volume115
Pages102611

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

Situational Crime Prevention (SCP) is a criminological approach that is shown to reduce crime opportunities drawing from five different strategies comprising 25 techniques. With the global increase in cybercrime, practitioners and researchers are increasingly investigating opportunities for applying SCP strategies and techniques to prevent cyber-focused and cyber-enabled crimes. Recent research proposes ways that SCP can be applied to cybercrime. Yet most of this research utilizes only a few of the SCP techniques and the linkages between the SCP techniques and opportunities for reducing cybercrimes are rarely made explicit. In this paper we evaluate the relevance of the full spectrum of SCP techniques to cybercrime and explicate how computer scientists, cybercrime and cybersecurity researchers and practitioners apply SCP principles to prevent and control cyber-enabled crime. Through a focused systematic review of 352 articles across computer science, criminal justice and criminology literature using the PRISMA method, this paper clarifies terminologies, explores the rise of cybercrimes, and explains the value of SCP for responding to cybercrimes. We provide a review of the current research undertaken to apply SCP to cybercrimes and conclude with a discussion on research gaps and potential future areas of research.

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Cite it as

@misc{ho2022situational,
  title        = {Situational Crime Prevention (SCP) techniques to prevent and control cybercrimes: A focused systematic review},
  author       = {Heemeng Ho and Ryan K. L. Ko and LORRAINE GREEN MAZEROLLE},
  year         = {2022},
  journal      = {Computers \& Security},
  publisher    = {Elsevier BV},
  volume       = {115},
  pages        = {102611},
  doi          = {10.1016/j.cose.2022.102611},
}

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