Fraud Detection in Telecommunications: History and Lessons Learned
Fraud Detection in Telecommunications: History and Lessons Learned
复制标题
DOI：
10.1198/tech.2009.08136
复制
发表时间：
2010-02
期刊：
影响因子：
2.5
通讯作者：
R. A. Becker;C. Volinsky;A. R. Wilks
中科院分区：
文献类型：
--
作者：
R. A. Becker;C. Volinsky;A. R. Wilks
在当今的技术环境中，欺诈检测是一项日益重要和困难的任务。随着消费者将更多的个人信息放在网上，并通过计算机处理更多的业务，欺诈造成的损失可能高达数十亿美元，更不用说身份盗窃造成的损失了。本文回顾了AT&T欺诈检测的历史，AT&T是第一家系统地解决欺诈问题以保护其收入流的公司之一。我们讨论了一些主要的欺诈计划和用于解决这些问题的技术，从而得出有关欺诈检测的一般结论。具体来说，我们提倡使用简单、可理解的模型，大量使用可视化和灵活的环境，并强调数据管理的重要性和保持人类参与的必要性。
Fraud detection is an increasingly important and difficult task in today’s technological environment. As consumers are putting more of their personal information online and transacting much more business over computers, the potential for losses from fraud is in the billions of dollars, not to mention the damage done by identity theft. This paper reviews the history of fraud detection at AT&T, one of the first companies to address fraud in a systematic way to protect its revenue stream. We discuss some of the major fraud schemes and the techniques used to address them, leading to generic conclusions about fraud detection. Specifically, we advocate the use of simple, understandable models, heavy use of visualization, and a flexible environment and emphasize the importance of data management and the need to keep humans in the loop.