Mendeley
TY  _  JOUR
ID  -  13980822193438
TI  -  A Study of Fraud Types, Challenges and Detection Approaches in Telecommunication
JO  -  Journal of Information Systems and Telecommunication (JIST) 
JA  -  ES
LA  -  en
SN  -  2322-1437
AU  -  Babaei Kasra
AU  -  Chen ZhiYuan
AU  -  Maul Tomas
AD  -   University of Nottingham Malaysia
AD  -   University of Nottingham Malaysia
AD  -   University of Nottingham Malaysia
Y1  -  2020
PY  -  2020
VL  -  28
IS  -  7
SP  -  248
EP  -  261
KW  -  Fraud Detection
KW  -   
KW  -  Machine Learning
KW  -  
KW  -   Telecommunication
KW  -  
DO  -  
N2  -  Fraudulent activities have been rising globally resulting companies losing billions of dollars that can cause severe financial damages. Various approaches have been proposed by researchers in different applications. Studying these approaches can help us obtain a better understanding of the problem. The aim of this paper is to investigate different aspects of fraud prevention and detection in telecommunication. This study presents a review of different fraud categories in telecommunication, the challenges that hinder the detection process, and some proposed solutions to overcome them. Also, the performance of some of the state-of-the-art approaches is reported followed by our guideline and recommendation in choosing the best metrics.
UR  - rimag.ir/en/Article/15379
L1  - rimag.ir/en/Article/Download/15379
ER  -  
