Payment Fraud – 2014 case study

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Payment Fraud – 2014 case study

The National Fraud Intelligence Bureau (NFIB) has team up with Prevention of Fraud in Travel (PROFiT) and Fraud Intelligence Network (FIN) to carry a case study looking at payment fraud within the travel industry.

The case study will analyse how payment fraud affects the UK Travel Industry highlighting common threats and establishing best practice to prevent payment fraud.

The NFIB in conjunction with Fraud Intelligence Network (FIN) and PROFiT conducted a case study with the travel industry in 2012 the results of which can be found at Case Study Results.

For this case study the NFIB will be working with FIN who are experts in the processing and analysis of fraud data and PROFiT who are a fraud prevention trade body representing the travel industry.

The NFIB is run by the City of London Police (COLP) which is the national lead force for fraud. The NFIB collects data from a number of sources and then uses the most advanced systems to process and analyse the data. The NFIB system holds millions of records and receives thousands of updates on a daily basis. Upon data entering the NFIB links between the data are created and the data showing them most links are scored to see what data can form part of a police investigation.

What Participants Will Need to Provide

Case study participants will be required to provide all data they hold relating to the following types of bookings:

• Chargebacks – where a chargeback has been received from your bank
• Rejected bookings – where a booking has been stopped as it is suspected to be fraudulent
• Suspicious activity – where a booking has not been processed as it is suspected to be fraudulent

All data provided by case study participants will be processed and analysed via the FIN system and uploaded to the NFIB. Data provided will be anonymised and the results will be published in a case study.

The Next Step

If your organisation would like to take part in the case study please email davidr@fraudintelnet.co.uk.
Data for the case study will be collected in December and the case study will be published in the first quarter of 2014.

If you have any questions about the case study or any matter relating to fraud please email davidr@fraudintelnet.co.uk.