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Cheater detection in Real Time Bidding system – panel approach

Author

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  • Michał Bernardelli

    (Warsaw School of Economics)

Abstract

The aim of this paper is to present an econometric model as a key to detect fraud traffic in the Real Time Bidding system. The proposed method was verified by computer simulations. It consists of two different models, one designed for user classification and the second to distinguish actual websites from those specially prepared by cheaters. Presented models depend on each other and together seems to be a quite fast and effective tool to separate online human traffic from artificial one generated by bots.

Suggested Citation

  • Michał Bernardelli, 2015. "Cheater detection in Real Time Bidding system – panel approach," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 11-24.
    • Handle: RePEc:sgh:annals:i:39:y:2015:p:11-24
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    File URL: http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z39_01.pdf
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    References listed on IDEAS

    as
    1. Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007. "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords," American Economic Review, American Economic Association, vol. 97(1), pages 242-259, March.
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    Cited by:

    1. Łukasz Lipiński & Michał Bernardelli, 2018. "Anonimowość w Internecie – identyfikacja płci użytkowników na podstawie historii odwiedzanych stron internetowych," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 53, pages 147-162.
    2. Łukasz Lipiński & Michał Bernardelli, 2019. "Click fraud detection rules," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 55, pages 41-54.
    3. Michał Bernardelli, 2017. "Predicting Hourly Internet Traffic in the RTB System – Panel Approach," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 11-26.

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    More about this item

    Keywords

    Real Time Bidding; big data; wykrywanie oszustw; liniowy model prawdopodobieństwa;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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