The ongoing struggle against scam calls is reaching a fever pitch, with telecom companies and regulators locked in a high-stakes confrontation. Telecoms argue that they're already implementing robust systems to thwart the tide of these nuisance calls, pointing to caller ID verification, call blocking features, and partnerships with law enforcement.

SIM box fraud poses a significant threat to telecom operators worldwide, sapping revenue and undermining 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. Firstly, operators must fortify their s

Telecommunication fraud/theft/deceit is a pervasive problem, costing service providers and consumers billions of dollars annually. Machine learning block spam calls (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/d