The month of February provided another stark reminder that cyber criminals continue to be on the prowl in online dating communities.

According to a recent Toronto Sun article, “Money scammers target online daters,” Durham Regional Police received several reports—all during the weeks following Valentine’s day—from women claiming they had been scammed by men they met online. After several months of courtship and communications with these men, women then said they were asked to wire money overseas to help with work-related charity efforts. Some women were also conned into providing personal identification and financial details to the suspects and were debited “substantial amounts of money from their personal accounts.” (more…)

When I talk with fraud managers, they often express concern that the benefits of a reputation-based system won’t be instantly apparent. While a reputation service inherently becomes more valuable over time as companies log their fraud experiences into the system, it’s worth pointing out that device recognition and device reputation provide a number of benefits that can have an immediate effect, such as the following:

• Expose relationships between transactions –Device recognition gives fraud management teams instant visibility into the relationships between all online transactions (fraudulent or not). This provides immediate value in assisting with investigations and resolving issues.
• Receive velocity alerts –The number of purchases, applications, account creations, etc. that originate from one user in a given period of time is highly indicative of fraudulent behavior. For example, wouldn’t it be valuable to know that in the span of one hour, ten credit card applications were all submitted by one person? Unfortunately, since most fraudsters use fake or stolen identities, this can be incredibly hard to detect—unless you focus on the device. With device recognition, you can monitor the velocity of transactions coming from a single device, regardless of the identities provided.

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