Telecom companies use data mining algorithms and machine learning models to analyze large volumes of consumer data, such as call logs, transaction records, browser histories, and network logs. They are able to spot red flags for fraudulent activity by employing cutting-edge analytics methods. Abnormal behaviors include long call times, numerous SIM card swaps, calls to unknown numbers, and excessive data usage.
By keeping a close eye on and analyzing these trends, telecom companies can spot signs of possible fraud as they happen. They can immediately take measures to safeguard their finances and their clients. Data mining can also be used to find security flaws in a network and strengthen protections against future fraud.
Overall, the security and reliability of communication networks are improved when telecom services are combined with data mining for fraud detection. It lessens the effect of fraudulent actions on customers and keeps services running smoothly and safely.