Detecting SIM box fraud by using support vector machine and artificial neural network

• Main Authors: Sallehuddin, Roselina, Ibrahim, Subariah, Mohd. Zain, Azlan, Elmi, Abdikarim Hussein
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/58251/1/RoselinaSallehuddin2015_DetectingSIMBoxFraud.pdf; http://eprints.utm.my/id/eprint/58251/; http://dx.doi.org/10.11113/jt.v74.2649
• Institution: Universiti Teknologi Malaysia

Fraud in communication has been increasing dramatically due to the new modern technologies and the global superhighways of communication, resulting in loss of revenues and quality of service in telecommunication providers especially in Africa and Asia. One of the dominant types of fraud is SIM box...