Orienting the Development of Crime Analysis Processes in Police Organisations Covering the Digital Transformations of Fraud Mechanisms
Détails
Télécharger: Rossy-Ribaux2020_Article_OrientingTheDevelopmentOfCrime.pdf (590.09 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_D1B9E966E9C6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Orienting the Development of Crime Analysis Processes in Police Organisations Covering the Digital Transformations of Fraud Mechanisms
Périodique
European Journal on Criminal Policy and Research
ISSN
0928-1371
1572-9869
1572-9869
Statut éditorial
Publié
Date de publication
29/02/2020
Peer-reviewed
Oui
Langue
anglais
Résumé
A significant, and likely dominant, proportion of fraud is now conducted online. Police struggle to integrate this emerging reality into their processes, while expectations of this institution are high. These types of cybercrimes alter the volume and complexity of problems compared to how they previously manifested and require profound transformations of crime analysis methods to address them proactively. These developments face many difficulties, such as the quality of accessible data, the lack of existing analytical models and the need to increase police knowledge of fraud mechanisms within every level of organisations.We suggest methods to overcome these obstacles, which consist of implementing an approach integrating theories from various fields in criminology and forensic intelligence to examine the digital transformations of certain criminal processes. We take, as an example, how a generic script expressing the anatomy of an existing type of fraud can be used to interpret their new digital forms. This modelling activity both provides new insight into specific frauds and highlights relevant dimensions that are useful in orienting the development of crime analysis systems.
Mots-clé
Online fraud, Confidence game, Forensic intelligence, Script analysis, Digital transformations
Création de la notice
25/06/2019 13:13
Dernière modification de la notice
11/10/2020 6:10