Detection and Analysis of Fraud Phone Calls using Artificial Intelligence

With an increase advancement of technology, fraud phone calls, including spams and malicious calls have become a major concern in telecommunication industry and causes millions of global financial losses every year. Fraudulent phone calls or scams and spams via telephone or mobile phone have become a common threat to individuals and organizations. Artificial Intelligence (AI) and Machine Learning (ML) has emerged as powerful tools in detecting and analyzing fraud or malicious calls. This paper presents an overview of AI-based fraud or spam detection and analysis techniques, along with its challenges and potential solutions. The novel fraud call detection approach is proposed that achieved high accuracy and precision. The Proposed approach was evaluated using a dataset of real-world fraudulent calls. And results demonstrate that the approach achieved high accuracy in detecting malicious calls and identifying potential indicators of frauds or spams. The analysis of fraud calls also provided insights into the tactics and methods employed by fraudsters, which can be used to develop countermeasures.

I. Introduction

An ever-evolving danger that affects people, businesses, and the government is phone-based spam or scams [7]. The Federal Trade Commission (FTC) in the United States got over 3 million reports of fraud in 2021, resulting in a $3 billion-dollar loss overall. Spammers use a variety of ploys, including impersonation, spoofing, and digital manipulation, to access private information, steal money, or harm a person’s image. Around the globe, it resulted in financial and information losses. Inherently, fraud phone calls are designed to cause stress and anxiety. The traditional methods [14] of detecting malicious phone calls involve manual review of call details and recordings and identifying fraudulent patterns. However, these methods are time-consuming, expensive, and may not give accurate results or effective in identifying new types of scams. Therefore, there is a need for a good technique that can detect and analyse fraud phone calls accurately and efficiently.