Edwards, M;
Suarez-Tangil, G;
Peersman, C;
Stringhini, G;
Rashid, A;
Whitty, M;
(2018)
The Geography of Online Dating Fraud.
In:
Proceedings of the Workshop on Technology and Consumer Protection (ConPro ’18).
IEEE-TCSP: San Francisco, CA, USA.
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Abstract
This paper presents an analysis of online dating fraud’s geography. Working with real romance scammer dating profiles collected from both proxied and direct connections, we analyse geographic patterns in the targeting and distinct characteristics of dating fraud from different countries, revealing several strong markers indicative of particular national origins having distinctive approaches to romance scamming. We augment IP geolocation information with other evidence about the dating profiles. By analysing the resource overlap between scam profiles, we discover that up to 11% of profiles created from proxied connections could be assigned a different national origin on the basis of text or images shared with profiles from direct connections. Our methods allow for improved understanding of the origins of dating fraud, beyond only direct geolocation of IP addresses, with patterns and resource sharing revealing approximate location information which could be used to target prevention campaigns.
Type: | Proceedings paper |
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Title: | The Geography of Online Dating Fraud |
Event: | Workshop on Technology and Consumer Protection |
Location: | San Francisco |
Dates: | 21 May 2018 - 25 May 2018 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.ieee-security.org/TC/SPW2018/ConPro/pa... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10045644 |
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