SIM box fraud poses a substantial threat to telecom operators worldwide, sapping revenue and compromising network integrity. To effectively combat this illicit activity, a multi-layered approach is essential. This involves implementing robust fraud detection at multiple stages of the telecom lifecycle. Initially, operators must enhance their subs

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