Fraud Detection and Management for Telecommunication Systems using Artificial Intelligence (AI)
H J Ritika, Mohana
20222022 3rd International Conference on Smart Electronics and Communication (ICOSEC)13 citationsDOI
Abstract
Fraud is on the rise worldwide, which can cost businesses billions of dollars and cause significant financial damage. Researchers from different fields of application have proposed different approaches. Investigating these ideas will enable us to view the issues more clearly. This paper objective is to examine numerous directions of fraud detection and prevention in the communications sector. This paper provides an overview of the different classifications of telecom fraud, issues that impede the process of detection, and a few solutions suggested to overcome it. The performance of the current approaches is reported at, followed by recommendations and recommendations for picking the best fit performance metrics.
Topics & Concepts
Computer scienceProcess (computing)TelecommunicationsComputer securityRisk analysis (engineering)Data scienceBusinessOperating systemImbalanced Data Classification TechniquesAnomaly Detection Techniques and ApplicationsElectricity Theft Detection Techniques