Visualization-Driven Approach to Fraud Detection in the Mobile Money Transfer Services

Algorithms, Methods, and Applications in Mobile Computing and Communications Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-5693-0.CH009

E. Novikova, Igor Kotenko

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引用次数: 3

Abstract

Mobile money transfer services (MMTS) are widely spread in the countries lacking conventional financial institutions. Like traditional financial systems they can be used to implement financial frauds. The chapter presents a novel visualization-driven approach to detection of the fraudulent activity in the MMTS. It consists in usage of a set of interactive visualization models supported by outlier detection techniques allowing to construct comprehensive view on the MMTS subscriber behavior according to his/her transaction activity. The key element of the approach is the RadViz visualization that helps to identify groups with similar behavior and outliers. The scatter plot visualization of the time intervals with transaction activity supported by the heat map visualization of the historical activity of the MMTS subscriber is used to conduct analysis of how the MMTS users' transaction activity changes over time and detect sudden changes in it. The results of the efficiency evaluation of the developed visualization-driven approach are discussed.

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可视化驱动的移动转账服务欺诈检测方法

移动转账服务(MMTS)在缺乏传统金融机构的国家广泛普及。像传统的金融系统一样，它们可以被用来实施金融欺诈。本章提出了一种新的可视化驱动的方法来检测MMTS中的欺诈活动。它包括使用一组由离群值检测技术支持的交互式可视化模型，允许根据MMTS订户的事务活动构建有关其行为的全面视图。该方法的关键要素是RadViz可视化，它有助于识别具有相似行为和异常值的组。MMTS订阅者历史活动的热图可视化支持事务活动时间间隔的散点图可视化，用于分析MMTS用户的事务活动如何随时间变化，并检测其中的突然变化。讨论了所开发的可视化驱动方法的效率评价结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Algorithms, Methods, and Applications in Mobile Computing and Communications

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