Fraud Management System in Detecting Fraud in Cellular Telephone Networks

Abstract

With fraud perpetrators becoming more sophisticated both in their techniques and the tools they use, fraud is an increasing problem. Telecommunications service providers are currently second only to banks in losing money through fraud. Investments in an integrated fraud management system pay off quickly even for operators of small networks. However, telecommunication fraud has been a major challenge to the growth of the industry. Different solutions and services have been employed to curb this menace in the mobile industry, but the more advanced the service or solution, the more susceptible it is to fraud. This study therefore presents a survey on the Critical Analysis of Significance of Fraud Management System in Detecting Fraud in Cellular Telephone Network in NIGERIA. A major services provided by Nigeria’s mobile telecommunication company over a specified period of time and proffer suitable solutions to reduce fraud in this industry in order to restore the telecommunication subscriber’s confidence in their mobile operators. A descriptive survey design was used. using convenient sampling technique (i.e. non-probability). The respondents were staff and management of GLOBACOM. Measurements of the study were done and subjected to rigorous data processing and analysis using simple percentage through relevant statistics computer software package called statistical package for social science (IBM-SPSS version 20.0), average mean and standard deviation was also used to determine the final justification regarding the research study under review. The findings of the research work revealed Fraud Management System (FMS) plays significance roles in detecting fraud in GSM industry. The study recommends that a longitudinal study to be carried out, so as to study the factual nature and quality of fraud management system in detecting fraud cellular telephone network in Nigeria’s GSM industry.

Authors and Affiliations

Dr Isa Ali Ibrahim, I. B. Mohammed, Bashir Saidu

Keywords

Related Articles

Enhancing Liver Segmentation: A Deep Learning Approach with EAS Feature Extraction and Multi-Scale Fusion

Deep learning technology have been broadly used in segmentation tasks of liver. To address the limitation of suboptimal segmentation for small targets, an end-to-end EAS(ECA-Attention and Separable convolution) U-Net is...

A Technical Review on IoT Based Mining Tracking and Safety Helmet

In the mining field IOT has a great importance with varying applications drawing attention to its construction. To the contrary side the main objective of this research is to design smart helmet system for mining industr...

Formal Modeling and Validation of ReDy Architecture Intended for IoT Applications

Internet of Things (IoT) faces different architectural challenges to meet the large scale application issues, the heterogeneity, and the self-adaptivity. Many IoT applications require a dynamic construction of the system...

A Comprehensive Review of the Significance of Low-code Automation in Risk Management for Banks

This study provides a comprehensive examination of the influence of low-code development platforms in the risk management area within the banking sector. This research delves into the tactical utilization of low-code aut...

Minimizing Keystrokes/Clicks In Traditional Desktop Interfaces: Introducing A Modality-Diversification Layer

Desktop software applications are built with traditional user interfaces in mind. Unlike modern Smartphones and tablets where Tactile and other haptic user-interface modalities are primary, desktop user-interfaces put ex...

Download PDF file
  • EP ID EP748803
  • DOI -
  • Views 58
  • Downloads 0

How To Cite

Dr Isa Ali Ibrahim, I. B. Mohammed, Bashir Saidu (2015). Fraud Management System in Detecting Fraud in Cellular Telephone Networks. International Journal of Innovative Research in Computer Science and Technology, 3(3), -. https://europub.co.uk/articles/-A-748803