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Temporal Analysis of Wire Transfers for Fraud Detection

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thesis
posted on 21.10.2015, 00:00 by Luca Cioria
This thesis aims to improve the current systems to identify fraudolent bank trans- actions. We start by analyzing the state of the art, in particular the work done in the BankSealer project, focusing on the temporal analysis of user profiles. We then suggest a new approach at identifying anomalous shifts in user spending patters, that should prove more general and effective than the current one. After having defined a possible new system, we test its effectiveness and generality with a fully working prototype implementation against a set of over a million real bank transactions, and conclude by explaining the main success areas of the new approach, and the possible areas of improvement for future work.

History

Advisor

V.N. VENKATAKRISHNAN, VENKAT

Department

Computer Science

Degree Grantor

University of Illinois at Chicago

Degree Level

Masters

Committee Member

Zuck, Lenore Zanero, Stefano

Submitted date

2015-08

Language

en

Issue date

21/10/2015

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