<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10646/3954" />
  <subtitle />
  <id>https://hdl.handle.net/10646/3954</id>
  <updated>2026-04-24T02:03:23Z</updated>
  <dc:date>2026-04-24T02:03:23Z</dc:date>
  <entry>
    <title>A conceptual framework for detecting financial crime in mobile money transactions</title>
    <link rel="alternate" href="https://hdl.handle.net/10646/4463" />
    <author>
      <name>Gombiro, Cross</name>
    </author>
    <author>
      <name>Jantjies, Mmaki</name>
    </author>
    <author>
      <name>Mavetera, Nehemiah</name>
    </author>
    <id>https://hdl.handle.net/10646/4463</id>
    <updated>2023-05-29T01:11:46Z</updated>
    <published>2015-01-01T00:00:00Z</published>
    <summary type="text">Title: A conceptual framework for detecting financial crime in mobile money transactions
Authors: Gombiro, Cross; Jantjies, Mmaki; Mavetera, Nehemiah
Abstract: Mobile money has made it possible for the unbanked to access financial service to areas previous not &#xD;
accessibly to traditional banking systems. Africa in particular, has indeed seen a growth in use of such &#xD;
services owing to the high penetration of mobile phones. While traditional banking services have been &#xD;
well regulated and secured, mobile money services are still new and vulnerable. Also, attacks and &#xD;
crimes targeting the internet, new technologies and new methods of payments have become &#xD;
sophisticated. This scenario requires novel proactive, real time techniques and solutions to detect &#xD;
financial crimes in mobile money transactions (MMT). The Financial Action Task Force (FATF) 2012 &#xD;
requires mobile money to be subject for monitoring and for compliance. Payment systems have &#xD;
evolved from hard cash, to credit cards, debit cards and now to the M-money, there are several &#xD;
approaches that have been used to detect financial crime in platforms such as credit cards and in the &#xD;
traditional banking system. However, most of these approaches are not suitable for m-money &#xD;
methods. A conceptual framework for detection of mobile money financial crime is proposed. The &#xD;
framework incorporates data mining techniques, big data analytics, Know Your Customers, historical &#xD;
databases and a knowledge base among other things.</summary>
    <dc:date>2015-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

