AI RESEARCH
An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks
arXiv CS.LG
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ArXi:2605.17245v1 Announce Type: cross Telecommunication fraud is an acute problem that leads to substantial material losses and compromises the reliability of telecom systems worldwide. Only effective and efficient detection mechanisms can help to deal with these threats, though there are certain shifts in the approaches to fraud detection. This paper evaluates the performance of AI-driven models for fraud detection in telecommunication networks using Call Detail Record (CDR) datasets.