Telecom Fraud Detection and Prevention

Analysis of telecom fraud patterns and prevention strategies

Research Paper 2024-02-10 ACM Digital Library Research by RFS

Abstract

This research paper analyzes telecom fraud patterns, detection methodologies, and prevention strategies, providing insights into protecting against various types of telecom fraud and revenue loss. The study examines machine learning approaches for fraud detection.

Document

Fraud Detection
Pattern Recognition
Prevention Strategies
Revenue Protection
Risk Assessment
Machine Learning
Anomaly Detection

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Document Information
Dr. Amanda Davis

ACM Digital Library

Fraud Detection Expert
Dr. Rachel Green

Stanford University

Machine Learning Specialist
Prof. Thomas Lee

MIT Sloan

Risk Management Expert