模拟拳击问题:ALMADAR ALJADID案例研究

Abdullah Masrub, Mohamed Alahemar
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引用次数: 0

摘要

电信诈骗被认为是一个严重的问题,每年给移动网络服务提供商造成数十亿美元的损失。虽然新技术的出现有望减少欺诈,但它为欺诈者提供了实施欺诈的新技术。SIM Box诈骗被认为是随着VoIP技术的使用而出现的一种发达的诈骗行为。欺诈者利用这项技术绕过他们的呼叫国际/国内网关切换和标准终止费。高效的欺诈检测系统以及数据分析系统可以帮助电信运营商阻止欺诈行为并节省大量资金。本文研究了SIM盒问题,提出了识别SIM盒欺诈用户的方案。更准确地说,在检查移动用户的呼叫详细记录(cdr)的属性后,在这项工作中实现了一种识别正常和欺诈行为数据集的算法。我们将这项研究应用于ALMADAR公司的cdr,我们发现只有2%到9%的行为(取决于数据长度)可能显示出重要的欺诈使用倾向,需要进行准确的监控和检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIM Boxing Problem: ALMADAR ALJADID Case Study
Telecommunication fraud is considered as a significant problem that costs mobile network service providers billions of dollars annually. Although adventing new technologies expected to reduce fraud, it has provided fraudsters new techniques to commit fraud. SIM Box fraud is considered one of developed fraud that has emerged with the use of VoIP technologies. Fraudsters have used this technology to bypass their calls the international/national gateway switch and standard termination fees. Efficient fraud detection systems as well as data analysis systems can be used to enable telecom operators to stop fraud and save a lot of money. In this work, SIM Boxing problem is studied and identifying SIM Box fraud subscriber scenario is proposed. More precisely, after examining the attributes of the Call Detail Records (CDRs) of mobile subscribers, an algorithm to identify the data set of normal and fraudulent behavior has been implemented in this work. We applied this study on ALMADAR Company’s CDRs and we found that only 2% to 9% of behaviors (depending on data length) might show important tendency for fraudulent use and need to be monitored and examined accurately.
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