The Use of Belief Functions for the Detection of Internet Auction Fraud
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F13%3A43885460" target="_blank" >RIV/60076658:12510/13:43885460 - 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
The Use of Belief Functions for the Detection of Internet Auction Fraud
Original language description
Currently, Internet auction portals are a standard part of business activities on the Internet. Anyone can easily participate in online auctions, either as a seller or a buyer (bidder), and total turnover on Internet auction portals attains billions of dollars. However, the amount of fraud in these Internet auctions is also related to their popularity. To prevent discovery, fraudsters perform normal trading behaviors and disguise themselves as honest members. It is therefore not easy to detect fraud inonline auctions. Users must rely on information that is on the web auction systems available, for example user?s ratings (reputation), descriptions of the offered items, time frames of different activities and records of transactions. This paper presentsa set of characteristics that characterize fraudulent behavior on the internet auction ? the sale of counterfeit or stolen goods. To evaluation, whether or not this fraudulent behavior occurs, an approach based on belief functions is app
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
31st International Conference on Mathematical Methods in Economics 2013
ISBN
978-80-87035-76-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
31-36
Publisher name
Vysoká škola polytechnická Jihlava
Place of publication
Jihlava
Event location
Jihlava
Event date
Sep 11, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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