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Cyberfraud and the implications for effective risk-based responses: themes from UK research

Levi, Michael ; Doig, Alan ; Gundur, Rajeev ; Wall, David ; Williams, Matthew (2016) — Crime, Law and Social Change

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DOI: 10.1007/s10611-016-9648-0 (opens in a new tab)

Type:   Journal Article
Country:   United Kingdom
Tags:   Action Fraud, Cross Border Enforcement, Cyberfraud, Dating And Romance Scams, Prevention, Risk Based Policing, Victim Harm
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Synopsis

            
This article investigates the nature of cyberfraud—fraud with a cyber dimension—by analyzing data reported to Action Fraud and other UK sources to illuminate how a risk-based response might be improved. The authors aim to outline the range of risks and threats in cyberfraud and to consider what a more effective, risk-based enforcement and prevention approach would entail, not only in the UK but in contexts with similar dynamics. They emphasize that cyberfraud can be global in scope, though not all cases are international, and that the threat landscape is shaped by evolving technologies, open networks, and the diffusion of cybercrime across public and private actors. Drawing on observed patterns and costs of victimisation, the paper argues that the optimal law enforcement response is inherently strategic and collaborative. It contends that a purely reactive, police-led approach is unlikely to address the breadth of cyberfraud, given the high volume of low-value cases, limited recoveries, international dimensions, and resource constraints. The authors advocate for clearer roles among police, other public bodies, private sector partners, and internet service providers, as well as a focus on prevention, awareness, and resilience. They highlight the potential value of targeted, awareness-based interventions and caution that current data limitations hinder firm conclusions about what works, necessitating ongoing collection and analysis to guide policy. The article also notes limitations in the evidence base, the dynamic and heterogeneous nature of cyberfraud, and the need for multi-faceted strategies that balance deterrence, protection, and user education. It concludes with a call for strategic, cross-agency coordination and for recognizing the costs and practicalities of implementing cybersecurity measures at scale, while remaining grounded in the available data.

          

        
                  

            
Identified Gaps

            
The paper identifies weak and incomplete measurement of cyberfraud, poor capture in crime surveys and police data, and little agreed evidence about what responses work. It also finds insufficient information on offenders’ profiles, organization, specialization, networks, information sources, and cross-fraud activity. Comparable historical data are lacking, limiting conclusions about trends.

          

        
                  

            
Methods

            
The study analyzes 106,681 fraud and fraud-related incidents reported to UK Action Fraud from October through December 2014. It classifies incidents as cyber-assisted, cyber-enabled, cyber-dependent, or not applicable; examines first-contact methods, fraud categories, financial losses, recoveries, and self-reported harm; and compares cyber involvement across offenses. The analysis was supplemented by interviews with economic-crime control agencies, financial and industrial firms, cybercrime-prevention bodies, and current and retired UK police officers.

          

        
                  

            
Limitations

            
Action Fraud data are a snapshot of reported incidents and contain missing-data inconsistencies. Reporting depends on victims recognizing fraud and choosing to report it. Cyber involvement is inferred largely from first contact, may be underestimated, and relies on victim or classifier judgments. The data cannot reliably identify offender location, profiles, networks, specialization, operating methods, or full criminal profits. Recovery data cover few cases and may be inaccurate or drawn from different periods.

          

        
                  

            
Future Work

            
Test the effectiveness of individual security behaviors and security-adoption mechanisms using national longitudinal datasets. Develop faster and better intelligence on offending and offender networks using fresh and existing sources. Assess the costs, impacts, and added value of investigation, prosecution, disruption, and asset recovery, especially in cross-border cases.

          

              

    
    

        
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