Telecmmunications Subscription Fraud Detection Using Artificial Nueral Networks


  • Ledisi Giok Kabari Ken Saro-Wiwa Polytechnic, Bori, Nigeria
  • Domaka Nuka Nanwin Ignatius Ajuru University of Education, Rumuolumeni, Port Harcourt, Nigeria.
  • Edikan Uduak Nquoh Ignatius Ajuru University of Education, Rumuolumeni, Port Harcourt, Nigeria.



Telecommunications, Subscription, Artificial Neural Networks, Neurosolutions, Fraud, detection, Subscription Fraud.


Telecommunications Companies are facing a lot of problems due to fraud; hence the need for an effective fraud detection system for the telecommunications companies. This paper presents a design and implements of a subscription fraud detection system using Artificial Neural Networks. Neurosolutions for Excel was used to implement the Artificial Neural Network. The system was tested and found to be user friendly, effective and 85.7% success rate achieved.

Author Biographies

Ledisi Giok Kabari, Ken Saro-Wiwa Polytechnic, Bori, Nigeria

Chief Lecturer

Computer Science Department


Domaka Nuka Nanwin, Ignatius Ajuru University of Education, Rumuolumeni, Port Harcourt, Nigeria.

Lecturer I

Computer Science Department

Edikan Uduak Nquoh, Ignatius Ajuru University of Education, Rumuolumeni, Port Harcourt, Nigeria.

Computer Science Department


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How to Cite

Kabari, L. G., Nanwin, D. N., & Nquoh, E. U. (2016). Telecmmunications Subscription Fraud Detection Using Artificial Nueral Networks. Transactions on Engineering and Computing Sciences, 3(6), 19.