Artificial Intelligence Based Fraud Detection, Data Security and Privacy for Telecommunication Systems

Globally, fraud is increasing and has the potential to cost firms billions of dollars and inflict serious financial harm. Scholars hailing from several domains of application have put forth distinct methodologies. Examining these concepts can help us see the problems more clearly. Examining several approaches to fraud detection and prevention in the communications industry is the aim of this article. This paper gives a summary of the various categories of telecom fraud, problems that arise throughout the detection process, and some recommendations for how to solve them. The efficacy of the existing methodologies is documented at, succeeded by suggestions and suggestions for selecting the performance measurements that best suit the needs. There has been a notable shift in the use of advanced AI-driven solutions for fraud management in the telecom industry. The development of Generative AI is a significant breakthrough, giving CSPs powerful instruments to fight fraud. As a result of the transition from conventional to AI-based methodologies, fraud management is becoming more proactive and predictive, enabling CSPs to stay one step ahead of criminals.