SIMBox Fraud Detection in Telecommunication Operators: A case Study on "Djezzy "

Abstract

The SIMBox is a telecommunications device that reroutes international voice calls through the internet to a local SIM card within the device, making them appear as local calls and bypassing standard network gateways. This Master’s thesis presents a SIMBox Fraud Detector, an AI-powered web application for SIMBox fraud detec- tion in mobile telecommunications networks. A thorough experiments with machine learning techniques using the dataset CDR (Call Detail Records) from Djezzy mo- bile operator show that the XGBoost model with Tomek+RUS undersampling exhibits promising advantages in both detection and balance performance. XGBoost not only achieved a precision and accuracy of 96% for fraudulent detection, but it also pro- vided the best tradeoff between false positive rate and true positive rate.