Case by Case: Building a Database on Cybercriminal Business Models

Dates: October 2018 – March 2021
Lead researcher: Professor Jonathan Lusthaus, University of Oxford

Overview

This project focused on the business models of cybercriminal groups. Its goal was to build a database of closed cybercrime cases that illustrates different group structures. This will move the discussion of cybercriminal organisations from generalities to a richer micro-level understanding, thereby making it more feasible for law enforcement to identify
vulnerabilities in organisational structures and to target disruptive interventions effectively.

Policy implications

The project supported understanding of cyber offenders, their business models, the risk factors for offending and pathways – for overseas as well as UK based offenders. More broadly it will also help consider effectiveness of interventions to prevent people becoming involved in cyber crime and interventions to divert those on an offending pathway. This will help contribute to policy and law enforcement development in areas such as Cyber Prevent and Cyber Pursue. It’s hoped that the project will support law enforcement through making it easier for them to identify vulnerabilities in organisational structures and to target disruptive interventions effectively.


Funder: Home Office
External collaborators: Dr Tom Holt, Michigan State University, Professor Edward Kleemans, Vrije Universiteit Amsterdam, Dr Rutger Leukfeldt, Netherlands Institute for the Study of Crime and Law Enforcement, Professor Mike Levi, Cardiff University, and Professor Federico Varese, University of Oxford.

Skills

Posted on

December 9, 2021