Click Stream Data Analysis for Online Fraud Detection in E-Commerce
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F16%3A43892048" target="_blank" >RIV/60076658:12510/16:43892048 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Click Stream Data Analysis for Online Fraud Detection in E-Commerce
Original language description
Web services became the integration part of our life at the present time including advertisement on various web pages. Many e-commerce companies generate advertisement revenue by selling clicks (it is known as Pay-Per-Click model). In this model, e-commerce company is paid for each time an advertisement link on its website is clicked leading to the sponsoring company's content. However, some of these companies inflate the number of clicks their sites generate. Generation of such invalid clicks either by humans or software with the intension to get fraudulently money is known as click fraud. In this article we show how the click fraud can be unmasked using various time features (e.g., period of the day and the day of the week when a user's (that is identified by his IP address) clicking occur). We combine several different time features into a timeprint. We use machine learning methods in a number of experiments to get an understanding of to what extent time prints can be used for identifying click fraud. The obtained results show that timeprints indeed can be a useful tool for the improvement of the quality of click fraud analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th International Scientific Conference INPROFORUM. Threatened Europe - Socio-Economic and Environmental Changes
ISBN
978-80-7394-607-4
ISSN
2336-6788
e-ISSN
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Number of pages
6
Pages from-to
175-180
Publisher name
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Nov 3, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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