In the fiercely dynamic telecom industry, revenue leakage poses a significant threat to profitability. Unidentified billing discrepancies can lead to lost revenue and damage customer trust. To effectively combat this challenge, telecom providers must implement robust measures to identify and rect

SIM box fraud poses a significant threat to telecommunications companies worldwide, causing substantial financial losses and undermining network integrity. This insidious scheme involves the illegal interception and redirection of international calls through unauthorized devices known as SIM boxe

Telecommunication fraud/theft/deceit is a pervasive problem, costing service providers and consumers billions of dollars annually. Machine learning (ML) offers a powerful arsenal to combat this ever-evolving threat. By analyzing vast datasets of call records, network traffic, and user behavior pa