SIM box fraud poses a significant threat to telecom operators worldwide, sapping revenue and jeopardizing network integrity. To effectively combat this illicit activity, a multi-layered approach is essential. This involves implementing robust anti-fraud strategies at multiple stages of the telecom lifecycle. First, operators must enhance their su

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 patterns, ML algorithms can identify/detect/uncover ano