Cheater detection in Real Time Bidding system – panel approach

Michał Bernardelli

Collegium of Economic Analysis Annals, 2015, issue 39, 11-24

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.

Keywords: Real Time Bidding; big data; wykrywanie oszustw; liniowy model prawdopodobieństwa (search for similar items in EconPapers)
JEL-codes: C33 C53 C55 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z39_01.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:39:y:2015:p:11-24

Access Statistics for this article

Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot

More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Michał Bernardelli ().