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Dynamic detection system design of fraud simbox to improve quality service of international incoming call

Author

Listed:
  • Edi Sukamto

    (Department of Electrical Engineering, University of Indonesia, Depok, Indonesia)

  • Dadang Gunawan

    (Department of Electrical Engineering, University of Indonesia, Depok, Indonesia)

Abstract

nternational 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 trafÏ ic of international incoming call without going through the ofÏ icial 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 trafÏ ic SIMBOX fraud detection system. This study aims to improve the detection of fraud trafÏ ic 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 trafÏ ic Ï low proÏ iles 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

Suggested Citation

  • Edi Sukamto & Dadang Gunawan, 2016. "Dynamic detection system design of fraud simbox to improve quality service of international incoming call," Journal of Applied and Physical Sciences, Prof. Vakhrushev Alexander, vol. 2(3), pages 77-81.
    • Handle: RePEc:apb:japsss:2016:p:77-81
    DOI: 10.20474/japs-2.3.2
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    References listed on IDEAS

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    1. Baillie, Richard T., 1980. "Predictions from ARMAX models," Journal of Econometrics, Elsevier, vol. 12(3), pages 365-374, April.
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    More about this item

    Keywords

    Human Stress; MFCC; MLP; Precursor Emotion; DASS21;
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