Name
Abstract | ||
|---|---|---|
Online romance scams are a prevalent form of mass-marketing fraud in the West, and yet few studies have presented data-driven responses to this problem. In this type of scam, fraudsters craft fake profiles and manually interact with their victims. Because of the characteristics of this type of fraud and how dating sites operate, traditional detection methods (e.g., those used in spam filtering) ar... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIFS.2019.2930479 | IEEE Transactions on Information Forensics and Security |
Keywords | DocType | Volume |
Feature extraction,Machine learning,Tools,IP networks,Data mining,Sociology,Statistics | Journal | 15 |
ISSN | Citations | PageRank |
1556-6013 | 1 | 0.36 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillermo Suarez-Tangil | 1 | 45 | 2.84 |
| Matthew John Edwards | 2 | 26 | 5.95 |
| Claudia Peersman | 3 | 109 | 8.21 |
| Gianluca Stringhini | 4 | 701 | 61.87 |
| Awais Rashid | 5 | 2041 | 149.78 |
| Monica T. Whitty | 6 | 170 | 15.67 |