Case Study: Romance Scams

  • Ting-Fang Yen
  • Markus Jakobsson

Abstract

This chapter describes the romance scam, and an experiment performed to establish metrics around it, including a data collection tool we refer to as the simulated spam filter. We find that while traditional romance scams still account for the large majority of romance scam messages, affiliate marketing scams are increasingly becoming dominant in online dating sites. This type of scam attempts to lure the victim to third-party sites, often promising profile pictures or, under the pretense of identity validation, phishing for the victim’s credit card number. Our simulated spam filter study further shows that around 2 % of the scammers will click on links included in our auto-response emails, and that 5 % reply to our auto-response emails. Our results shed light on the extent to which romance scam operations are automated, and the approximate geographic location of the scammers.

Keywords

Phone Number Credit Card Number Previous Message Profile Picture Money Mule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Federal Bureau of Investigation, Internet Crime Complaint Center (IC3) annual reports. https://www.ic3.gov/media/annualreports.aspx

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Ting-Fang Yen
    • 1
  • Markus Jakobsson
    • 2
  1. 1.DataVisor, Inc.Mountain ViewUSA
  2. 2.AgariPortola ValleyUSA

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