How to develop a CDR generator
This post details how I developed a Call Detail Record (CDR) generator for my final year project on telecoms fraud. The generator creates realistic CDRs using a simplified data model, focusing on caller, callee, call type, start time, and duration. Various user models (high, low, business, etc.) are configured with parameters like average call cost, standard deviation, and call frequency for different call types (local, national, etc.), along with likely call times. Random numbers are then generated within these parameters to create a diverse set of CDRs that accurately reflect the modeled behavior.