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Erschienen in:
Understanding Craigslist Rental Scams Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud

verfasst von : Ian Molloy, Suresh Chari, Ulrich Finkler, Mark Wiggerman, Coen Jonker, Ted Habeck, Youngja Park, Frank Jordens, Ron van Schaik

Erschienen in: Financial Cryptography and Data Security

Verlag: Springer Berlin Heidelberg

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Abstract

We present a new approach to cross channel fraud detection: build graphs representing transactions from all channels and use analytics on features extracted from these graphs. Our underlying hypothesis is community based fraud detection: an account (holder) performs normal or trusted transactions within a community that is “local” to the account. We explore several notions of community based on graph properties. Our results show that properties such as shortest distance between transaction endpoints, whether they are in the same strongly connected component, whether the destination has high page rank, etc., provide excellent discriminators of fraudulent and normal transactions whereas traditional social network analysis yields poor results. Evaluation on a large dataset from a European bank shows that such methods can substantially reduce false positives in traditional fraud scoring. We show that classifiers built purely out of graph properties are very promising, with high AUC, and can complement existing fraud detection approaches.

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Vorheriges Kapitel Understanding Craigslist Rental Scams
Nächstes Kapitel Android UI Deception Revisited: Attacks and Defenses
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Metadaten
Titel
Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud
verfasst von
Ian Molloy
Suresh Chari
Ulrich Finkler
Mark Wiggerman
Coen Jonker
Ted Habeck
Youngja Park
Frank Jordens
Ron van Schaik
Copyright-Jahr
2017
Verlag
Springer Berlin Heidelberg
Buch
Financial Cryptography and Data Security

Print ISBN: 978-3-662-54969-8

Electronic ISBN: 978-3-662-54970-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-662-54970-4_2