Bypass Fraud Detection: Artificial Intelligence Approach

11/04/2017
by   Ibrahim Ighneiwa, et al.
0

Telecom companies are severely damaged by bypass fraud or SIM boxing. However, there is a shortage of published research to tackle this problem. The traditional method of Test Call Generating is easily overcome by fraudsters and the need for more sophisticated ways is inevitable. In this work, we are developing intelligent algorithms that mine a huge amount of mobile operator's data and detect the SIMs that are used to bypass international calls. This method will make it hard for fraudsters to generate revenue and hinder their work. Also by reducing fraudulent activities, quality of service can be increased as well as customer satisfaction. Our technique has been evaluated and tested on real world mobile operator data, and proved to be very efficient.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/17/2021

Efficient and Secure Mobile Cloud Networking

Mobile cloud computing is a very strong candidate for the title "Next Ge...
research
01/19/2021

The Next Decade of Telecommunications Artificial Intelligence

It has been an exciting journey since the mobile communications and arti...
research
06/20/2019

Autonomous Haiku Generation

Artificial Intelligence is an excellent tool to improve efficiency and l...
research
06/30/2018

Harnessing constrained resources in service industry via video analytics

Service industries contribute significantly to many developed and develo...
research
09/20/2018

IASIS and BigMedilytics: Towards personalized medicine in Europe

One field of application of Big Data and Artificial Intelligence that is...
research
02/19/2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

In cloud systems, incidents are potential threats to customer satisfacti...

Please sign up or login with your details

Forgot password? Click here to reset