Dynamic detection system design of fraud simbox to improve quality service of international incoming call
Edi Sukamto, Dadang Gunawan
Article first published online: 2016
Abstract
International Direct Dialing (IDD) is one of the services based on the Telecommunications Operator clear channel access and Voice over IP (VoIP). In running this business, Operators face Grey Operators who do illegal practices by passing traffic of international incoming call without going through the official international service providers called Fraud Subscriber Identity Module Box (SIMBOX). The impacts of this practice are not only the revenue decline, but SIMBOX also provides less good image for the operator because of the low quality service. Some operators have made efforts to implement the mitigation of traffic SIMBOX fraud detection system. This study aims to improve the detection of fraud traffic and maintain the quality of service. This study redesigns the existing SIMBOX fraud detection system to become a dynamic detection system by adding a dynamic control algorithm and is simulated using MATLAB simulation approach. A dynamic system is indispensable as there are various fraud traffic flow profiles that always change and could not be predicted. The results of this study indicate that fraud detection SIMBOX could be improved up to 5,000% and could increase potential revenue to $ 2 billion per month. Thus the fraud detection SIMBOX dynamic system will provide greater detection results than the previous system.